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• Improvement of Agriculture Productivity by using Artificial Intelligence and Block Chain Technology
  Agriculture plays a vital role in global food security and economic sustainability. However, the sector faces numerous challenges, such as the need to feed a growing population, resource constraints, climate change, and inefficient supply chain management. Thi…
  datacite Veni, Anusuri Krishna, Rani, K Shwetha 2023 置信度 0.66 precision agriculture; supply chain; blockchain; internet of things; traceability; smart contracts
• Cloud-Assisted IoT-Based Monitoring and Evaluation In Agriculture
  Agriculture is the primary economic activity in many rural areas and emerging nations, and it serves as the economic backbone for many nations. The agricultural industry has come a long way since its humble beginnings, and it is now significantly more complica…
  datacite Nikisha, R, Felsy, C. 2023 置信度 0.66 Agricultural informatizationGeographic spatial dataInternet of ThingsGreenhouse
• Cloud-Assisted IoT-Based Monitoring and Evaluation In Agriculture
  Agriculture is the primary economic activity in many rural areas and emerging nations, and it serves as the economic backbone for many nations. The agricultural industry has come a long way since its humble beginnings, and it is now significantly more complica…
  datacite Nikisha, R, Felsy, C. 2023 置信度 0.66 Agricultural informatizationGeographic spatial dataInternet of ThingsGreenhouse
• INNOVATSION AGROTEXNOLOGIYALAR ORQALI G'ALLA HOSILDORLIGINI OSHIRISH
  Ushbu maqolada g‘alla yetishtirishda innovatsion agrotexnologiyalarning ahamiyati yoritiladi. Tadqiqotda turli texnologiyalar qo‘llanilganda olingan hosildorlik ko‘rsatkichlari solishtirilib, ularning samaradorligi baholanadi. Analiz natijalari shuni ko‘rsatad…
  datacite Turayeva Gulizahro 2025 置信度 0.66 Innovatsion agrotexnologiyalar, g'alla hosildorligi, smart sug'orish, aniq dehqonchilik, resurs tejamkorlik, agrosensorlar, raqamli qishloq xo'jaligi, agrodrondan foydalanish, zamonaviy urug'chilik texnologiyalari, Sirdaryo viloyati qishloq xo'jaligi.Инновационные агротехнологии, урожайность зерновых, умное орошение, точное земледелие, ресурсосбережение, агросенсоры, цифровое сельское хозяйство, использование агродронов, современные семенные технологии, сельское хозяйство Сырдарьинской области.Innovative agrotechnologies, grain yield / wheat yield, smart irrigation, precision agriculture, resource efficiency, agrosensors, digital agriculture, use of agrodrones, modern seed technologies, agriculture of the Syrdarya region
• INNOVATSION AGROTEXNOLOGIYALAR ORQALI G'ALLA HOSILDORLIGINI OSHIRISH
  Ushbu maqolada g‘alla yetishtirishda innovatsion agrotexnologiyalarning ahamiyati yoritiladi. Tadqiqotda turli texnologiyalar qo‘llanilganda olingan hosildorlik ko‘rsatkichlari solishtirilib, ularning samaradorligi baholanadi. Analiz natijalari shuni ko‘rsatad…
  datacite Turayeva Gulizahro 2025 置信度 0.66 Innovatsion agrotexnologiyalar, g'alla hosildorligi, smart sug'orish, aniq dehqonchilik, resurs tejamkorlik, agrosensorlar, raqamli qishloq xo'jaligi, agrodrondan foydalanish, zamonaviy urug'chilik texnologiyalari, Sirdaryo viloyati qishloq xo'jaligi.Инновационные агротехнологии, урожайность зерновых, умное орошение, точное земледелие, ресурсосбережение, агросенсоры, цифровое сельское хозяйство, использование агродронов, современные семенные технологии, сельское хозяйство Сырдарьинской области.Innovative agrotechnologies, grain yield / wheat yield, smart irrigation, precision agriculture, resource efficiency, agrosensors, digital agriculture, use of agrodrones, modern seed technologies, agriculture of the Syrdarya region
• Nano urea and its Superiority Over urea as Fertilizer Elaborating some Applications - An Overview
  Conventional urea, a major source of nitrogen for plants, suffers from losses due to ammonia volatilization and leaching. Nano-urea, with its reduced particle sizes (typically 1-100 nm), offers potential benefits like enhanced nutrient use efficiency and contr…
  datacite De, Nabanita, Das, Tanmoy 2024 置信度 0.66 Nano Urea; Nano-Fertilizer; Precision-Agriculture; Control Release Fertilizer; Slow Release Fertilizer
• Nano urea and its Superiority Over urea as Fertilizer Elaborating some Applications - An Overview
  Conventional urea, a major source of nitrogen for plants, suffers from losses due to ammonia volatilization and leaching. Nano-urea, with its reduced particle sizes (typically 1-100 nm), offers potential benefits like enhanced nutrient use efficiency and contr…
  datacite De, Nabanita, Das, Tanmoy 2024 置信度 0.66 Nano Urea; Nano-Fertilizer; Precision-Agriculture; Control Release Fertilizer; Slow Release Fertilizer
• Deep Ensemble Learning for Weed Recognition Using YOLO Variants in Precision Agriculture
  Weed competition in paddy fields is a critical challenge to crop yield and agricultural sustainability because conventional control methods, whether Broad-spectrum weeding or manual control herbicides, are Work-intensive, environmentally harmful, lack the prec…
  datacite IJCISIM 2026 置信度 0.66
• Deep Ensemble Learning for Weed Recognition Using YOLO Variants in Precision Agriculture
  Weed competition in paddy fields is a critical challenge to crop yield and agricultural sustainability because conventional control methods, whether Broad-spectrum weeding or manual control herbicides, are Work-intensive, environmentally harmful, lack the prec…
  datacite IJCISIM 2026 置信度 0.66
• Revolutionizing Agricultural Machinery: The Role of AI, IoT, and Renewable Energy in Enhancing Efficiency and Sustainability
  Modern agriculture has seen tremendous development using AI, IoT, and renewable energy, enhancing efficiency and sustainability to tackle resource scarcity, climate change, and food security. AI enables precision farming through autonomous machinery and predic…
  datacite Balai, Pritam Singh, Sheikh, Asaruddin, Rabha, Garima, Das, Samiran 等 2025 置信度 0.66 IoT And Renewable; Efficiency And Sustainability; Renewable Energy; Enhancing Efficiency; Revolutionizing Agricultural Machinery
• Revolutionizing Agricultural Machinery: The Role of AI, IoT, and Renewable Energy in Enhancing Efficiency and Sustainability
  Modern agriculture has seen tremendous development using AI, IoT, and renewable energy, enhancing efficiency and sustainability to tackle resource scarcity, climate change, and food security. AI enables precision farming through autonomous machinery and predic…
  datacite Balai, Pritam Singh, Sheikh, Asaruddin, Rabha, Garima, Das, Samiran 等 2025 置信度 0.66 IoT And Renewable; Efficiency And Sustainability; Renewable Energy; Enhancing Efficiency; Revolutionizing Agricultural Machinery
• AI-Based Cocoa Pod Disease Detection to Support Farmers in Upper Denkyira
  Cocoa farmers in Upper Denkyira East Municipality, Ghana, can lose trees and harvests when pod diseases are noticed too late, and manual field inspection is often the only diagnostic option available. This paper presents a lightweight, mobile-deployable image …
  datacite NSOWAH EBENEZER: MS/ITE/25/0030, PETER AKWASI SARPONG : MS/ITE/25/0029, ADOM PETER-KING ASARE: MS/ITE/25/0005 2026 置信度 0.66 cocoa pod disease detection, transfer learning, MobileNetV2precision agricultureUpper Denkyira East
• AI-Based Cocoa Pod Disease Detection to Support Farmers in Upper Denkyira
  Cocoa farmers in Upper Denkyira East Municipality, Ghana, can lose trees and harvests when pod diseases are noticed too late, and manual field inspection is often the only diagnostic option available. This paper presents a lightweight, mobile-deployable image …
  datacite NSOWAH EBENEZER: MS/ITE/25/0030, PETER AKWASI SARPONG : MS/ITE/25/0029, ADOM PETER-KING ASARE: MS/ITE/25/0005 2026 置信度 0.66 cocoa pod disease detection, transfer learning, MobileNetV2precision agricultureUpper Denkyira East
• Early Identification and Classification of High-Impact Cotton Plant Diseases through IoT
  Cotton, often referred to as "white gold," is one of India's most critical cash crops, forming the backbone of both the agricultural and textile sectors. However, despite its economic significance, cotton cultivation is increasingly threatened by the emergence…
  datacite Shaikh, Farooque Yasin, Bansod, Nagsen S., Kadam, Anand D 2025 置信度 0.66 Cotton Plant Diseases; IoT in Agriculture; Convolutional Neural Networks (CNN); Smart Farming; Disease Detection; Image-Based Classification; Precision Agriculture; Bacterial Blight; Cotton Leaf Curl Virus (CLCuV); Fusarium Wilt; Real-Time Monitoring; Sensor-Based Diagnosis; Marathwada Cotton Farming; Environmental Sensing; Deep Learning in Agriculture; Agricultural Automation; Flask Web Application; Arduino-Based System; DHT11 Sensor Soil Moisture Monitoring
• Early Identification and Classification of High-Impact Cotton Plant Diseases through IoT
  Cotton, often referred to as "white gold," is one of India's most critical cash crops, forming the backbone of both the agricultural and textile sectors. However, despite its economic significance, cotton cultivation is increasingly threatened by the emergence…
  datacite Shaikh, Farooque Yasin, Bansod, Nagsen S., Kadam, Anand D 2025 置信度 0.66 Cotton Plant Diseases; IoT in Agriculture; Convolutional Neural Networks (CNN); Smart Farming; Disease Detection; Image-Based Classification; Precision Agriculture; Bacterial Blight; Cotton Leaf Curl Virus (CLCuV); Fusarium Wilt; Real-Time Monitoring; Sensor-Based Diagnosis; Marathwada Cotton Farming; Environmental Sensing; Deep Learning in Agriculture; Agricultural Automation; Flask Web Application; Arduino-Based System; DHT11 Sensor Soil Moisture Monitoring
• Chinese Cropland Parcel Dataset
  In order to address the challenge of fine-grained land parcel extraction in complex agricultural landscapes in China, this study developed the China Farmland Parcel Dataset (CCPD). This dataset is based on 5-meter resolution remote sensing images and covers 36…
  datacite Zeqi Zhu, Kexin Chang, Li Xiong, Qi Wen 等 2026 置信度 0.66 Computer science and technologyEnvironmental science and resources science and technologyChinaCropland ParcelCropland Parcel Boundary
• Machine Learning Review for Early Plant Leaf Disease Detection
  Early detection of plant leaf diseases is crucial for ensuring crop health and yield in precision agriculture. Machine learning techniques, particularly convolutional neural networks (CNNs) and transfer learning, have significantly outperformed traditional fea…
  datacite Mangal, Patil Sharayu, Yadav, Jeetendra Singh 2025 置信度 0.66 Plant leaf disease detection; early diagnosis; image processing; machine learning; deep learning; CNN; MobileNet; Vision Transformer; transfer learning; precision agriculture
• Machine Learning Review for Early Plant Leaf Disease Detection
  Early detection of plant leaf diseases is crucial for ensuring crop health and yield in precision agriculture. Machine learning techniques, particularly convolutional neural networks (CNNs) and transfer learning, have significantly outperformed traditional fea…
  datacite Mangal, Patil Sharayu, Yadav, Jeetendra Singh 2025 置信度 0.66 Plant leaf disease detection; early diagnosis; image processing; machine learning; deep learning; CNN; MobileNet; Vision Transformer; transfer learning; precision agriculture
• A Review of Artificial Intelligence Techniques for Cotton Leaf Disease Identification
  Cotton is one of the most important cash crops worldwide, and its productivity is severely affected by leaf diseases that reduce yield and fiber quality. Traditional disease identification methods rely on expert knowledge and manual inspection, which are time-…
  datacite Patel, Toral, Degadwala, Sheshang, Soni, Dharvi 2026 置信度 0.66 Cotton leaf disease; Artificial intelligence; Deep learning; Computer vision; Precision agriculture
• A Review of Artificial Intelligence Techniques for Cotton Leaf Disease Identification
  Cotton is one of the most important cash crops worldwide, and its productivity is severely affected by leaf diseases that reduce yield and fiber quality. Traditional disease identification methods rely on expert knowledge and manual inspection, which are time-…
  datacite Patel, Toral, Degadwala, Sheshang, Soni, Dharvi 2026 置信度 0.66 Cotton leaf disease; Artificial intelligence; Deep learning; Computer vision; Precision agriculture
• Беспилотные авиационные системы в агропромышленном комплексе: анализ и перспективные сценарии применения для Республики Татарстан
  Цель исследования заключается в анализе текущего состояния и перспектив применения беспилотных авиационных систем (БАС) в агропромышленном комплексе Республики Татарстан, а также в разработке сценариев их внедрения и применения для повышения эффективности сель…
  datacite Хоменко Вадим Васильевич, Хайруллин Ильнур Радикович, Дегтярев Андрей Геннадьевич, Стариков Андрей Леонидович 2026 置信度 0.66 беспилотные авиационные системыагропромышленный комплекссельское хозяйствоРеспублика Татарстанцифровая трансформация
• Artificial Intelligence and Embedded Electronics for Precision Agriculture: A Short Review
  Precision agriculture has transformed traditional farming into an intelligent and data-driven system through the integration of Artificial Intelligence (AI) and embedded electronic technologies. AI enables automated decision-making by analyzing large volumes o…
  datacite Shweta Sanjay Patil, Dr. Shital Amarsinh Gawade 2026 置信度 0.66
• Artificial Intelligence and Embedded Electronics for Precision Agriculture: A Short Review
  Precision agriculture has transformed traditional farming into an intelligent and data-driven system through the integration of Artificial Intelligence (AI) and embedded electronic technologies. AI enables automated decision-making by analyzing large volumes o…
  datacite Shweta Sanjay Patil, Dr. Shital Amarsinh Gawade 2026 置信度 0.66
• SMART HYDROPHOONIC AUTOMATION SYSTEM
  The Smart Hydroponics Automation System is an innovative agricultural solution based on the Internet of Things that makes it possible to cultivate without soil with more precision, efficiency, and sustainability. This system makes use of multiple sensors such …
  datacite Pramod, Vijaylaxmi, Kavya, K Vinay Kiran 等 2026 置信度 0.66 Hydroponic SystemAutomationSensors
• SMART HYDROPHOONIC AUTOMATION SYSTEM
  The Smart Hydroponics Automation System is an innovative agricultural solution based on the Internet of Things that makes it possible to cultivate without soil with more precision, efficiency, and sustainability. This system makes use of multiple sensors such …
  datacite Pramod, Vijaylaxmi, Kavya, K Vinay Kiran 等 2026 置信度 0.66 Hydroponic SystemAutomationSensors
• MULTI-PURPOSE AGRICULTURAL ROBOTIC VEHICLE
  This project focuses on the development of a multipurpose agricultural robotic vehicle designed to automate essential farming tasks. The system is capable of performing operations such as seed sowing, irrigation, and pesticide spraying using a microcontroller …
  datacite Dr Pavan Mankal, G Rakshita, Shradha Patil, Pragati Biradar 等 2026 置信度 0.66 Agricultural RobotAutomationMicrocontrollerSeed SowingIrrigation System
• MULTI-PURPOSE AGRICULTURAL ROBOTIC VEHICLE
  This project focuses on the development of a multipurpose agricultural robotic vehicle designed to automate essential farming tasks. The system is capable of performing operations such as seed sowing, irrigation, and pesticide spraying using a microcontroller …
  datacite Dr Pavan Mankal, G Rakshita, Shradha Patil, Pragati Biradar 等 2026 置信度 0.66 Agricultural RobotAutomationMicrocontrollerSeed SowingIrrigation System
• HILL SPROUT KANGRA STRAWBERRY LEAF DATSET BY AVINASH SAHRMA
  The Strawberry Leaf Disease Image Dataset, copyrighted by Avinash Sharma, is a real-world image dataset developed for research and applications in deep learning, computer vision, and automated strawberry leaf disease detection. The dataset consists of approxim…
  datacite Sharma, Avinash 2026 置信度 0.66 StrawberryStrawberry LeafStrawberry PlantStrawberry DatasetStrawberry Leaf Dataset
• HILL SPROUT KANGRA STRAWBERRY LEAF DATSET BY AVINASH SAHRMA
  The Strawberry Leaf Disease Image Dataset, copyrighted by Avinash Sharma, is a real-world image dataset developed for research and applications in deep learning, computer vision, and automated strawberry leaf disease detection. The dataset consists of approxim…
  datacite Sharma, Avinash 2026 置信度 0.66 StrawberryStrawberry LeafStrawberry PlantStrawberry DatasetStrawberry Leaf Dataset
• Tzolkin CRT Planting Calendars and KAM Tori Pest Population Stability Certificates for Precision Agriculture
  Traditional agricultural calendars encode planting windows as number-theoretic intervals avoiding resonance. OmegaFlow v13 formalizes this via Tzolkin CRT ℤ₁₃×ℤ₂₀≅ℤ₂₆₀ providing 260-day base planting schedule. Calendar Round lcm(260,365)=18980 days≈52 years: p…
  datacite Gary Charles Gonzalez 2026 置信度 0.66 omegagenesisOmegaFlow-v13H3-hyperbolicORCID:0009-0003-2911-444Xprecision agriculture
• Dataset and analysis code for leaf-age effects on spectral discrimination of water stress in zucchini
  This record includes the spectral reflectance dataset, metadata, reproducible analysis code, and archived output tables associated with a study on leaf-age effects on spectral discrimination of water stress in zucchini plants. The deposit is intended as an arc…
  datacite Polilli, Walter, Galieni, Angelica 2026 置信度 0.66 Precision AgricultureWater stressHyperspectral reflectanceLeaf age
• Dataset and analysis code for leaf-age effects on spectral discrimination of water stress in zucchini
  This record includes the spectral reflectance dataset, metadata, reproducible analysis code, and archived output tables associated with a study on leaf-age effects on spectral discrimination of water stress in zucchini plants. The deposit is intended as an arc…
  datacite Polilli, Walter, Galieni, Angelica 2026 置信度 0.66 Precision AgricultureWater stressHyperspectral reflectanceLeaf age
• Tzolkin CRT Planting Calendars and KAM Tori Pest Population Stability Certificates for Precision Agriculture
  Traditional agricultural calendars encode planting windows as number-theoretic intervals avoiding resonance. OmegaFlow v13 formalizes this via Tzolkin CRT ℤ₁₃×ℤ₂₀≅ℤ₂₆₀ providing 260-day base planting schedule. Calendar Round lcm(260,365)=18980 days≈52 years: p…
  datacite Gary Charles Gonzalez 2026 置信度 0.66 omegagenesisOmegaFlow-v13H3-hyperbolicORCID:0009-0003-2911-444Xprecision agriculture
• Tzolkin CRT Planting Calendars and KAM Tori Pest Population Stability Certificates for Precision Agriculture
  Traditional agricultural calendars encode planting windows as number-theoretic intervals avoiding resonance. OmegaFlow v13 formalizes this via Tzolkin CRT ℤ₁₃×ℤ₂₀≅ℤ₂₆₀ providing 260-day base planting schedule. Calendar Round lcm(260,365)=18980 days≈52 years: p…
  datacite Gary Charles Gonzalez 2026 置信度 0.66 omegagenesisOmegaFlow-v13H3-hyperbolicORCID:0009-0003-2911-444Xprecision agriculture
• VRA_Controlador — POC em ESP32 do Controlador de Aplicação em Taxa Variável
  Implementação em ESP32 do controlador de Aplicação em Taxa Variável (VRA) descrito no artigo apresentado no SBIAGRO 2025. Lê zonas de manejo em arquivo KML do Google Earth, executa a Lógica Hierárquica de seleção de dose e aciona um atuador linear via controle…
  datacite Casagrande, Edson 2026 置信度 0.66 variable rate applicationVRAprecision agricultureagricultura familiarESP32
• VRA_Controlador — POC em ESP32 do Controlador de Aplicação em Taxa Variável
  Implementação em ESP32 do controlador de Aplicação em Taxa Variável (VRA) descrito no artigo apresentado no SBIAGRO 2025. Lê zonas de manejo em arquivo KML do Google Earth, executa a Lógica Hierárquica de seleção de dose e aciona um atuador linear via controle…
  datacite Casagrande, Edson 2026 置信度 0.66 variable rate applicationVRAprecision agricultureagricultura familiarESP32
• Effectiveness of Implementing an IoT-Based Automated Monitoring and Control System for Hydroponic Cultivation of Caisim Mustard Greens (Brassica rapa subsp. chinensis)
  Hydroponic cultivation of Caisim mustard (Brassicarapa subsp.chinensis) offers a highly productivealternative to traditional soil-based agriculture, particularly in urban environments like Jakarta. However,maintaining optimal environmental variables such aspot…
  datacite Chairunnur Fajar, Muhammad Irvan 2026 置信度 0.66
• Effectiveness of Implementing an IoT-Based Automated Monitoring and Control System for Hydroponic Cultivation of Caisim Mustard Greens (Brassica rapa subsp. chinensis)
  Hydroponic cultivation of Caisim mustard (Brassicarapa subsp.chinensis) offers a highly productivealternative to traditional soil-based agriculture, particularly in urban environments like Jakarta. However,maintaining optimal environmental variables such aspot…
  datacite Chairunnur Fajar, Muhammad Irvan 2026 置信度 0.66
• D6.2 Dissemination, communication and exploitation plan and reports
  The main reference document for communication activities within the Smart Droplets project, providing guidelines for partners to disseminate and exploit results. It includes an action plan detailing planned liaisons with complementary AI, Data, and Robotics in…
  datacite Vouroutzis, George, Papadopoulou, Marialena, Fotakidis, Dimitris 2023 置信度 0.66 Smart FarmingPrecision AgricultureArtificial IntelligenceRoboticsAgrifood
• D6.2 Dissemination, communication and exploitation plan and reports
  The main reference document for communication activities within the Smart Droplets project, providing guidelines for partners to disseminate and exploit results. It includes an action plan detailing planned liaisons with complementary AI, Data, and Robotics in…
  datacite Vouroutzis, George, Papadopoulou, Marialena, Fotakidis, Dimitris 2023 置信度 0.66 Smart FarmingPrecision AgricultureArtificial IntelligenceRoboticsAgrifood
• A Dual-Dataset Framework for Apple Leaf Analysis: Lifecycle-Based Pest Detection and Large-Scale Disease Classification
  This dataset presents a comprehensive dual-dataset framework designed to support research in automated apple leaf analysis, with a focus on both pest lifecycle detection and large-scale disease classification. The dataset is particularly relevant for developin…
  datacite BASHIR, SAIMUL, Bashir, Adil 2026 置信度 0.66
• A Dual-Dataset Framework for Apple Leaf Analysis: Lifecycle-Based Pest Detection and Large-Scale Disease Classification
  This dataset presents a comprehensive dual-dataset framework designed to support research in automated apple leaf analysis, with a focus on both pest lifecycle detection and large-scale disease classification. The dataset is particularly relevant for developin…
  datacite BASHIR, SAIMUL, Bashir, Adil 2026 置信度 0.66
• Development of Machine Learning Models for Predicting Nitrogen Deficiency Levels in Rice Crop
  Development of Machine Learning Models for Predicting Nitrogen Deficiency Levels in Rice Crop Lwekiza Nelson Ndiwaita1, Kadeghe Goodluck Fue2, Mawazo J Shitindi3 1 Sokoine University of Agriculture, College of Agriculture, Department of Crop Science and Hortic…
  datacite Kadeghe Goodluck Fue, Mawazo J Shitindi, Lwekiza Nelson Ndiwaita 2026 置信度 0.66 Nitrogen deficiency, rice crop, convolutional neural network, NDVI, RGB imagery, deep learning, Tanzania, precision agriculture
• Development of Machine Learning Models for Predicting Nitrogen Deficiency Levels in Rice Crop
  Development of Machine Learning Models for Predicting Nitrogen Deficiency Levels in Rice Crop Lwekiza Nelson Ndiwaita1, Kadeghe Goodluck Fue2, Mawazo J Shitindi3 1 Sokoine University of Agriculture, College of Agriculture, Department of Crop Science and Hortic…
  datacite Kadeghe Goodluck Fue, Mawazo J Shitindi, Lwekiza Nelson Ndiwaita 2026 置信度 0.66 Nitrogen deficiency, rice crop, convolutional neural network, NDVI, RGB imagery, deep learning, Tanzania, precision agriculture
• Smart Agriculture Monitoring and Controlling System
  The agricultural issue in the planet is still an important one that is subject to the conditions of unpredictable weather conditions, the inefficient use of water and the impossibility to monitor the field that leads to severe reduction of crop production and …
  datacite Pranav Baliram Gaikwad, Gaurav Parashar, Dada Garande 2026 置信度 0.66 IoTSmart AgricultureESP32Soil Moisture SensorDHT11
• Smart Agriculture Monitoring and Controlling System
  The agricultural issue in the planet is still an important one that is subject to the conditions of unpredictable weather conditions, the inefficient use of water and the impossibility to monitor the field that leads to severe reduction of crop production and …
  datacite Pranav Baliram Gaikwad, Gaurav Parashar, Dada Garande 2026 置信度 0.66 IoTSmart AgricultureESP32Soil Moisture SensorDHT11
• A Review of Deep Learning Models for Automated Plant Leaf Disease Diagnosis and Prevention
  Crop diseases are a major challenge in modern agriculture, often leading to reduced crop productivity, economic losses, and threats to food security. Early and accurate identification of plant diseases is essential for implementing timely preventive measures a…
  datacite Prof. Nikita Gosavi, Sujal Gavali, Ayush Kodre, Prajwal Kondhalkar 等 2026 置信度 0.66 Crop Disease DetectionPlant Leaf AnalysisDeep LearningVGG16ResNet50
• A Review of Deep Learning Models for Automated Plant Leaf Disease Diagnosis and Prevention
  Crop diseases are a major challenge in modern agriculture, often leading to reduced crop productivity, economic losses, and threats to food security. Early and accurate identification of plant diseases is essential for implementing timely preventive measures a…
  datacite Prof. Nikita Gosavi, Sujal Gavali, Ayush Kodre, Prajwal Kondhalkar 等 2026 置信度 0.66 Crop Disease DetectionPlant Leaf AnalysisDeep LearningVGG16ResNet50
• Deep Vision Architectures for Crop Disease Classification: A Comparative Study Across Agricultural Dataset Environments — Replication Package
  Automated crop disease classification using deep computer vision is critical for precision agriculture, yet existing models frequently suffer from a ``lab-to-field'' generalization gap when deployed in real-world farm environments. Furthermore, as vision archi…
  datacite Abderrahmen Jedidi, Samar Garrab 2026 置信度 0.66 Deep learningComputer visionEnergy-efficient computing
• Deep Vision Architectures for Crop Disease Classification: A Comparative Study Across Agricultural Dataset Environments — Replication Package
  Automated crop disease classification using deep computer vision is critical for precision agriculture, yet existing models frequently suffer from a ``lab-to-field'' generalization gap when deployed in real-world farm environments. Furthermore, as vision archi…
  datacite Abderrahmen Jedidi, Samar Garrab 2026 置信度 0.66 Deep learningComputer visionEnergy-efficient computing
• Global Research Trends in Irrigation and Water Availability Dataset 2000–2024 A Scientometric Analysis
  This dataset provides a curated collection of bibliographic records used in a scientometric analysis of global research trends in irrigation and water availability from 2000 to 2024. The dataset was developed to support the study entitled “Global research tren…
  datacite Assane, Célsio, de Melo Rodrigues, Andriane, Rubio Neto, Aurélio, Damásio da Silva Júnior, Édio 2026 置信度 0.66 Irrigation; Water availability; Scientometric analysis; Bibliometrics; Water management; Water use efficiency; Sustainable agriculture; SDG 6
• Global Research Trends in Irrigation and Water Availability Dataset 2000–2024 A Scientometric Analysis
  This dataset provides a curated collection of bibliographic records used in a scientometric analysis of global research trends in irrigation and water availability from 2000 to 2024. The dataset was developed to support the study entitled “Global research tren…
  datacite Assane, Célsio, de Melo Rodrigues, Andriane, Rubio Neto, Aurélio, Damásio da Silva Júnior, Édio 2026 置信度 0.66 Irrigation; Water availability; Scientometric analysis; Bibliometrics; Water management; Water use efficiency; Sustainable agriculture; SDG 6
• [Supplementary Material] Detecting Hurricane-Induced Fallen Pecan Trees: A Novel UAV-Based Deep Learning Approach
  Hurricane events strongly affect the pecan crop by uprooting and lodging trees. Additionally, current fallen-tree monitoring relies on manual field surveys, which are invasive, time-consuming, and costly, constraining timely decision-making. Therefore, in this…
  datacite Barbosa, Marcelo, Porto, Romário, dos Santos, Regimar, Wells, Lenny 等 2026 置信度 0.66 Remote SensingDisaster ManagementPrecision AgricultureDeep Learning
• [Supplementary Material] Detecting Hurricane-Induced Fallen Pecan Trees: A Novel UAV-Based Deep Learning Approach
  Hurricane events strongly affect the pecan crop by uprooting and lodging trees. Additionally, current fallen-tree monitoring relies on manual field surveys, which are invasive, time-consuming, and costly, constraining timely decision-making. Therefore, in this…
  datacite Barbosa, Marcelo, Porto, Romário, dos Santos, Regimar, Wells, Lenny 等 2026 置信度 0.66 Remote SensingDisaster ManagementPrecision AgricultureDeep Learning
• Orthomosaic Tiling for YOLO Training: An R Script for Deep Learning Image Preparation
  This R script automates the tiling of large orthomosaics (GeoTIFF files) into fixed‑size image patches for preparing datasets to train neural networks, such as YOLO (You Only Look Once). The script reads the orthomosaic using the terra package, splits the rast…
  datacite Maciel dos Santos, Lucas Gabryel, Surmani, Carmem 2026 置信度 0.66
• Orthomosaic Tiling for YOLO Training: An R Script for Deep Learning Image Preparation
  This R script automates the tiling of large orthomosaics (GeoTIFF files) into fixed‑size image patches for preparing datasets to train neural networks, such as YOLO (You Only Look Once). The script reads the orthomosaic using the terra package, splits the rast…
  datacite Maciel dos Santos, Lucas Gabryel, Surmani, Carmem 2026 置信度 0.66
• IMPLEMENTATION OF INNOVATIVE PROJECTS IN THE FIELD OF FOOD SECURITY
  Food security has become one of the most important global challenges of the 21st century. Population growth, climate change, water scarcity, environmental degradation, and disruptions in global supply chains have increased the need for innovative approaches in…
  datacite Rakhmankulov, Akmal 2026 置信度 0.66
• IMPLEMENTATION OF INNOVATIVE PROJECTS IN THE FIELD OF FOOD SECURITY
  Food security has become one of the most important global challenges of the 21st century. Population growth, climate change, water scarcity, environmental degradation, and disruptions in global supply chains have increased the need for innovative approaches in…
  datacite Rakhmankulov, Akmal 2026 置信度 0.66
• Precision Agriculture: Spotting and Spraying Yellow Defected Plant
  The agricultural sector plays an important role in the process of economic development of a country. The conventional pesticide spraying method involves uniform spraying of the entire field even when only some plants are infected. This results in pesticide was…
  datacite A. Angelin Stefi, Mukesh Kumar, Mowlisankar, Surendhar Kumar 2026 置信度 0.66
• Precision Agriculture: Spotting and Spraying Yellow Defected Plant
  The agricultural sector plays an important role in the process of economic development of a country. The conventional pesticide spraying method involves uniform spraying of the entire field even when only some plants are infected. This results in pesticide was…
  datacite A. Angelin Stefi, Mukesh Kumar, Mowlisankar, Surendhar Kumar 2026 置信度 0.66
• Raster Reflectance Extraction from Orthomosaics in R
  This R script provides a workflow for extracting spectral reflectance values from orthomosaics (raster files) at specific ground sampling points defined in UTM coordinates. The script loads a multi‑band orthomosaic, converts sampling points to an sf object wit…
  datacite Maciel dos Santos, Lucas Gabryel, Santos Lopes, Marcos David, Surmani, Carmem 2026 置信度 0.66
• Raster Reflectance Extraction from Orthomosaics in R
  This R script provides a workflow for extracting spectral reflectance values from orthomosaics (raster files) at specific ground sampling points defined in UTM coordinates. The script loads a multi‑band orthomosaic, converts sampling points to an sf object wit…
  datacite Maciel dos Santos, Lucas Gabryel, Santos Lopes, Marcos David, Surmani, Carmem 2026 置信度 0.66
• HELICOBACTER PYLORI — BEFORE AND AFTER N‑K ABB-E-HAYAAT From Gastric Pathogen to Precision pH Leveling Agent A Complete N‑K Geometric Restoration Protocol for the World's Most Misunderstood Bacterial
  ZENODO RECORD DESCRIPTION DOI: 10.5281/zenodo.19409757 HELICOBACTER PYLORI — BEFORE AND AFTER N‑K ABB-E-HAYAAT From Gastric Pathogen to Precision pH Leveling Agent A Complete N‑K Geometric Restoration Protocol for the World's Most Misunderstood Bacterial Autho…
  datacite Malik, Muhammad Usman 2026 置信度 0.66
• HELICOBACTER PYLORI — BEFORE AND AFTER N‑K ABB-E-HAYAAT From Gastric Pathogen to Precision pH Leveling Agent A Complete N‑K Geometric Restoration Protocol for the World's Most Misunderstood Bacterial
  ZENODO RECORD DESCRIPTION DOI: 10.5281/zenodo.19409757 HELICOBACTER PYLORI — BEFORE AND AFTER N‑K ABB-E-HAYAAT From Gastric Pathogen to Precision pH Leveling Agent A Complete N‑K Geometric Restoration Protocol for the World's Most Misunderstood Bacterial Autho…
  datacite Malik, Muhammad Usman 2026 置信度 0.66
• AgriLM: Cross Modal Visual Language Reasoning with Multi Vector Retrieval for Multimodal Knowledge Analytics
  This repository presents AgriLM, a unified multimodal framework for cross-modal visual-language reasoning in precision agriculture. The architecture combines CLIP-based vision encoding with a domain-adapted large language model via a cross-modal transformer, e…
  datacite Boyapati, Bhanu Siva Prakash 2026 置信度 0.66
• AgriLM: Cross Modal Visual Language Reasoning with Multi Vector Retrieval for Multimodal Knowledge Analytics
  This repository presents AgriLM, a unified multimodal framework for cross-modal visual-language reasoning in precision agriculture. The architecture combines CLIP-based vision encoding with a domain-adapted large language model via a cross-modal transformer, e…
  datacite Boyapati, Bhanu Siva Prakash 2026 置信度 0.66
• D2.2 Software Architecture for Cloud, Edge and Mixed Solutions
  This document outlines the policy landscape related to agricultural independence and food security, providing the foundation for subsequent NOSTRADAMUS deliverables. It examines the policies, strategies, and practices that support sustainable, resilient, and s…
  datacite Giuliani, Gregory 2026 置信度 0.66
• D2.2 Software Architecture for Cloud, Edge and Mixed Solutions
  This document outlines the policy landscape related to agricultural independence and food security, providing the foundation for subsequent NOSTRADAMUS deliverables. It examines the policies, strategies, and practices that support sustainable, resilient, and s…
  datacite Giuliani, Gregory 2026 置信度 0.66
• Consumer-grade UAV utilized for detecting and analyzing late-season weed spatial distribution patterns in commercial onion fields
  Studying weed spatial distribution patterns and implementing precise herbicide applications requires accurate weed mapping. In this study, a simple unmanned aerial vehicle (UAV) was utilized to survey 11 dry onion (Allium cepa L.) commercial fields to examine …
  crossref Gal Rozenberg, Rafi Kent, Lior Blank 2021-01-22T05:05:39Z 置信度 0.70
• Variations of soil properties affect the vegetative growth and yield components of “Tempranillo” grapevines
  To obtain the best must quality, winegrowers must harvest uniform batches of grapes, thus they might define sub-units of the vineyard and treat them as separate management units for cultivation and harvest. The objectives of this work were to determine if ther…
  crossref J. Tardaguila, J. Baluja, L. Arpon, P. Balda 等 2011-02-02T11:26:35Z 置信度 0.70
• Multi-scale assessment of the risk of soil salinization in an area of south-eastern Sardinia (Italy)
  The assessment and mapping of the risk of soil salinization can contribute to sustainable land planning aimed at mitigating soil degradation and increasing crop production. A probabilistic approach, based on multivariate geostatistics was used to model the spa…
  crossref A. Castrignanò, G. Buttafuoco, R. Puddu 2008-02-22T12:45:24Z 置信度 0.70
• The delineation of agricultural management zones with high resolution remotely sensed data
  Remote sensing (RS) techniques have been widely considered to be a promising source of information for land management decisions. The objective of this study was to develop and compare different methods of delineating management zones (MZs) in a field of winte…
  crossref Xiaoyu Song, Jihua Wang, Wenjiang Huang, Liangyun Liu 等 2009-02-10T12:48:56Z 置信度 0.70
• Site-specific early season potato yield forecast by neural network in Eastern Canada
  Deterministic potato (Solanum tuberosum L.) growth models hardly rely on driving seasonal field variables that directly characterize spatial variation of plant growth. For example, the SUBSTOR model computes the leaf area index (LAI) as an auxiliary variable f…
  crossref Jérôme G. Fortin, François Anctil, Léon-Étienne Parent, Martin A. Bolinder 2011-05-21T05:59:27Z 置信度 0.70
• Identification of broad-leaved dock (Rumex obtusifolius L.) on grassland by means of digital image processing
  Digital image processing has the potential to support the identification of plant species required for site-specific weed control in grassland swards. The present study focuses on the identification of one of the most invasive and persistent weed species on Eu…
  crossref Steffen Gebhardt, Jürgen Schellberg, Reiner Lock, Walter Kühbauch 2006-05-15T10:44:19Z 置信度 0.70
• A tertiary systematic literature review and experimental evaluation of deep learning models for plant disease detection
  Abstract Objective Minimizing crop losses through the early detection of plant diseases is vital for enhancing global agricultural efficiency. While deep learning has emerged as a promising solution, a significant gap exists between laboratory performance and …
  crossref Kwabena Ebo Bennin, Dide van Teeffelen, William Hurst, Önder Babur 2026-06-23T07:01:23Z 置信度 0.70
• Spectral signatures of sugar beet leaves for the detection and differentiation of diseases
  This study examines the potential of hyperspectral sensor systems for the non-destructive detection and differentiation of plant diseases. In particular, a comparison of three fungal leaf diseases of sugar beet was conducted in order to facilitate a simplified…
  crossref A.-K. Mahlein, U. Steiner, H.-W. Dehne, E.-C. Oerke 2010-06-12T01:33:38Z 置信度 0.70
• From wireless sensors to field mapping: Anatomy of an application for precision agriculture
  Precision agriculture demands intensive field data acquisition, which is usually done as machines perform field operations. However, more frequent data acquisition and interpretation can be the key to understanding productivity variability. Wireless sensor net…
  crossref Alberto Camilli, Carlos E. Cugnasca, Antonio M. Saraiva, André R. Hirakawa 等 2007-04-25T07:10:09Z 置信度 0.70
• Integrating soil and canopy sensing to map and relate variability in tart cherry orchards
  Abstract Purpose Evaluate how soil and canopy sensing can map within-block variability in tart cherry orchards and identify indicators robust enough for repeatable management decisions. Methods Soil apparent electrical conductivity (ECa) was mapped in spring 2…
  crossref Kurt Wedegaertner, Brent Black, Anderson Safre, Alfonso Torres-Rua 等 2026-08-29T08:12:37Z 置信度 0.70
• A First View on the Competencies and Training Needs of Farmers Working with and Researchers Working on Precision Agriculture Technologies
  The penetration of precision agriculture technologies in agrifood systems generates the need for efficient upskilling programs targeted at farmers and other actors. A critical first step in this direction is to uncover the training needs of the actors involved…
  crossref Anastasios Michailidis, Chrysanthi Charatsari, Thomas Bournaris, Efstratios Loizou 等 2024-01-04T09:47:32Z 置信度 0.70
• Cost-efficient algorithm for autonomous cultivators: Implementing template matching with field digital twins for precision agriculture
  The paper focuses on the development of a vision system to automate the position control of a cultivator used for crop weeding. The vision algorithm allows monitoring of the cultivator’s misalignment with respect to crop rows, with real-time processing. The ke…
  crossref Luca De Bortoli, Stefano Marsi, Francesco Marinello, Paolo Gallina 2024-10-08T12:07:56Z 置信度 0.70
• Application and perspectives of plant flexible sensors in precision agriculture: material, fabrication and functional analysis
  crossref Nan Wu, Jian Xu, Lili Ren, Wei Song 2025-09-16T11:43:32Z 置信度 0.70
• Reinforcement learning guided active crop localization with CNN detectors and an interactive decision dashboard for precision agriculture
  Accurate crop localization is a foundational requirement for automated field monitoring in precision agriculture, yet conventional one-shot convolutional neural network (CNN) detectors frequently yield misaligned or incomplete bounding boxes under variable ill…
  crossref Ahmed M.S. Kheir, Vinothkumar Kolluru, Gerald Adli, Marwa G.M. Ali 等 2026-05-02T22:58:28Z 置信度 0.70
• Estimation of yield zones using aerial images and yield data from a few tracks of a combine harvester
  Yield maps derived from yield mapping systems are often erroneous not only due to limitations in measuring the yield precisely but due to insufficient consideration of the requirements of yield mapping systems in practice as well. Aerial images of cultivated c…
  crossref Horst Domsch, Michael Heisig, Katrin Witzke 2008-08-28T13:03:07Z 置信度 0.70
• Stochastic simulation of maize productivity: spatial and temporal uncertainty in order to manage crop risks
  There is emerging interest in evaluating the uncertainty of agricultural production to support the production process and for guidance in decision making. The main objective of this work was to estimate the spatial and temporal maize yield uncertainty using st…
  crossref A. R. L. Grifo, J. R. Marques da Silva 2015-05-25T04:54:10Z 置信度 0.70
• Delineation of management zones in clover-grass for site-specific management of subsequent crops
  Abstract Modern agriculture faces the challenges of food security with increasing world population and the need to protect natural resources. Organic farming is known as more environmentally friendly, but has a deficit of around 80% yield compared to conventio…
  crossref Tobias Reuter, Konstantin Nahrstedt, Thomas Jarmer, Gabriele Broll 等 2025-06-21T05:33:09Z 置信度 0.70
• Software application for real-time ET o /ET c calculation through mobile devices
  In the southeast of Spain, farmers usually resort to the Agricultural Information Service of Murcia (SIAM) to get the data needed for an estimation of their water use and needs. Through 48 automatic stations, the SIAM provides data about temperature, wind spee…
  crossref M. V. Bueno-Delgado, A. Melenchon-Ibarra, J. M. Molina-Martinez 2017-05-12T13:18:48Z 置信度 0.70
• Transforming Agriculture with Smart Farming: A Comprehensive Review of Agriculture Robots for Research Applications
  crossref T. R. Ashwini, M. P. Potdar, S. Sivarajan, M. S. Odabas 2024-03-20T14:02:45Z 置信度 0.70
• A multimodal AI-based decision support framework for precision agriculture: Enhancing accessibility for low literate farmers
  Abstract Background : Due to limited literacy, smallholder farmers in agriculture in developing regions continue to encounter challenges, hindering their ability to leverage AI-driven and digital technologies. Most of the conventional platforms are dependent o…
  crossref Imran Maqood, Sadeeq Jan, Sadique Ahmad, Ala Saleh Alluhaidan 等 2026-04-16T11:03:46Z 置信度 0.70
• Spatial variability in soil characteristics is associated with Vidalia onion pungency and yield
  Vidalia onions are known globally for their characteristically low pungencies and remain a vital part of the economy in Southeast Georgia, USA, where they are grown. Previous research has shown that variability in soil properties (e.g. soil type, texture, and …
  crossref Daniel Jackson, Jason Lessl, Leonardo M. Bastos, Matthew R. Levi 2026-02-09T06:11:13Z 置信度 0.70
• A mixed-autonomous robotic platform for intra-row and inter-row weed removal for precision agriculture
  The presence of weeds poses a common and persistent problem in crop cultivation, affecting both yield and overall agricultural productivity. Common solutions to the problem typically include chemical pesticides, mulching, or mechanical weeding performed by agr…
  crossref Francesco Visentin, Simone Cremasco, Marco Sozzi, Luca Signorini 等 2023-10-04T07:10:24Z 置信度 0.70
• Use of the “smart transducer” concept and IEEE 1451 standards in system integration for precision agriculture
  As an increasing number of electronic control units with various types of sensors and actuators are embedded in agricultural machines and processes, efficient system integration has become a critical issue. A recently developed agricultural bus standard, ISO 1…
  crossref Jiantao Wei, Naiqian Zhang, Ning Wang, Donald Lenhert 等 2005-07-02T14:50:13Z 置信度 0.70
• Wireless sensor network deployment for integrating video-surveillance and data-monitoring in precision agriculture over distributed crops
  Monitoring different parameters of interest in a crop has been proven as a useful tool to improve agricultural production. Crop monitoring in precision agriculture may be achieved by a multiplicity of technologies; however the use of Wireless Sensor Networks (…
  crossref Antonio-Javier Garcia-Sanchez, Felipe Garcia-Sanchez, Joan Garcia-Haro 2011-01-06T09:29:01Z 置信度 0.70
• Developments in precision pasture management systems
  Pasture management is an important aspect of dairy farming, making up a significant portion of the dairy cow diet in many countries. Where grazing is the primary feed source, it relies on the quantity and nutritive value of grass. Pasture management involves a…
  crossref B. O’Brien, D. Hennessy, E. Ruelle 2025-11-24T13:16:27Z 置信度 0.70
• Using a robust variogram to find an adequate butterfly neighborhood size for one-step yield mapping using robust fitting paraboloid cones
  The yield map is generated by fitting the yield surface shape of yield monitor data mainly using paraboloid cones on floating neighborhoods. Each yield map value is determined by the fit of such a cone on a neighborhood that looks like a huge butterfly flying …
  crossref Martin Bachmaier 2007-02-14T15:47:52Z 置信度 0.70
• Robust Spectral Classification Under Sample Type and Seasonal Variability: A Proximal Remote Sensing Approach for Grapevine Cultivar Discrimination
  Abstract Purpose The discrimination of grapevine cultivars is an important yet underexploredtopic in precision viticulture. This study evaluated three aspects of grapevinecultivar classification and model training strategies: (1) the influence ofseasonal varia…
  crossref Kyle Loggenberg, Albert Strever, Zahn Münch 2026-03-18T11:18:16Z 置信度 0.70
• Evaluation of site-specific management zones on a farm with 124 contiguous small paddy fields in a multiple-cropping system
  The identification of homogeneous management zones (MZs) within a field is a basis for site-specific management (SSM). We assessed the method of defining MZs based on the spatio-temporal homogeneity of six soil properties and above-ground biomass data from pad…
  crossref Sachiko Ikenaga, Tatsuya Inamura 2008-04-03T01:43:12Z 置信度 0.70
• In-situ precision sensing for smart agriculture using flexible wearable optical array sensing system with multiple regression integrated learning
  crossref Wenhao He, Wentao Huang, Nuo Li, Nedeljko Latinović 等 2026-05-28T10:09:58Z 置信度 0.70
• Nanoparticle-Mediated Plant Gene Transfer for Precision Farming and Sustainable Agriculture
  crossref Jeyabalan Sangeetha, Khan Mohd Sarim, Devarajan Thangadurai, Amrita Gupta 等 2019-11-16T11:02:01Z 置信度 0.70
• Error Sources Affecting Variable Rate Application of Nitrogen Fertilizer
  crossref C. W. Chan, J. K. Schueller, W. M. Miller, J. D. Whitney 等 2005-02-28T21:28:01Z 置信度 0.70
• Spatial econometric approaches to developing site-specific nematode management strategies in cotton production
  Root-knot nematode infestations tend to be spatially clustered within agricultural fields and result in varied crop yield penalties. Site-specific nematode management could provide the opportunity for producers to maximize profit while maintaining acceptable y…
  crossref Zheng Liu, Terry W. Griffin, Terrence L. Kirkpatrick, Walter Scott Monfort 2015-03-03T10:50:31Z 置信度 0.70