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INTRODUCTION: This study explores the integration of precision agriculture technologies (PATs) in rainfed cereal production within semi-arid regions. METHODS: utilizing the Veris 3100 sensor for apparent soil electrical conductivity (ECa) mapping, differentiat…
europepmc
2024
置信度 0.80
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Precision agriculture technologies (PATs) transform crop production by enabling more sustainable and efficient agricultural practices. These technologies utilize data‐driven approaches to optimize the management of crops, soil, and resources, thus enhancing bo…
europepmc
Sewnet Getahun, Habtamu Kefale, Yohannes Gelaye
2024
置信度 0.80
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Precision agriculture, driven by the convergence of smart sensors and advanced technologies, has emerged as a transformative force in modern farming practices. The present review synthesizes insights from a multitude of research papers, exploring the dynamic l…
europepmc
2024
置信度 0.80
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The detection of apple leaf diseases plays a crucial role in ensuring crop health and yield. However, due to variations in lighting and shadow, as well as the complex relationships between perceptual fields and target scales, current detection methods face sig…
europepmc
2024
置信度 0.80
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Assessing and modelling within-field variability of crop and soil at different scales is a pre-requisite for effective management in Precision Agriculture. Actually, site-specific agronomic management cannot disregard knowledge of the associated scale(s) of th…
europepmc
2024
置信度 0.80
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Soil nutrient levels play a crucial role in determining crop yield. A comprehensive understanding of the spatial distribution patterns and evaluation grades of soil nutrients is of significant practical importance for informed fertilization practices, enhancin…
europepmc
2024
置信度 0.80
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This article presents the modelling of a quadcopter with a payload of 7 kg and the general overview of its use for precision crop spraying. The paper reviews the current state of the art in precision crop spraying and provides a comprehensive overview of the v…
europepmc
Olurotimi Akintunde Dahunsi, Oluseye Bolaji Oguntuase, Benedict Udeh, Micheal Kanisuru Adeyeri 等
2024
置信度 0.80
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Low-Code Development Platforms (LCDPs) empower users to create and deploy custom software with little to no programming. These platforms streamline development, offering benefits like faster time-to-market, reduced technical barriers, and broader participation…
europepmc
2024
置信度 0.80
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Technology infusion in agriculture has been progressing steadily, touching upon various spheres of agriculture such as crop identification, soil classification, yield prediction, disease detection, and weed-crop discrimination. On-demand crop type detection, o…
europepmc
2024
置信度 0.80
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Precision Agriculture is an agricultural management strategy that aims to increase farmers' profit, maximize crop productivity and sustainability, and protect the environment by applying inputs in optimum rates based on plant needs. The delineation of site-spe…
europepmc
2025
置信度 0.80
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This study leverages the BERTopic algorithm to analyze the evolution of research within precision agriculture, identifying 37 distinct topics categorized into eight subfields: Data Analysis, IoT, UAVs, Soil and Water Management, Crop and Pest Management, Lives…
pubmed
Liu Y, Wan F
2024
置信度 0.82
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Precision agriculture is becoming critically important for sustainable food production to meet the growing food demand. In recent decades, technical advances in AI (artificial intelligence) and IoT (internet-of-things) can help solve various agricultural field…
europepmc
2024
置信度 0.80
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Disease in crop has a great impact on agriculture resulting in a loss. Early detection of diseases through regular observing is crucial to minimize crop loss. In recent years, automatic plant disease recognition systems have been developed using image. It repr…
europepmc
Aditya Sharma, Raman Kumar
2024
置信度 0.80
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Agriculture plays a crucial role in economic development, yet farmers often face challenges in selecting suitable crops, managing soil fertility, and preventing diseases, which ultimately affect productivity and profitability. This paper presents an intelligen…
datacite
Kale, Sakshi Sugriv, Morey, Sneha Nilesh, Murade, Prajakta Rajesh, Rajput, Pooja Kailashsingh 等
2026
置信度 0.66
Crop Prediction, Precision Agriculture, Machine Learning, Soil Analysis, Random Forest, Linear Regression, Data Preprocessing, Soil Fertility, Smart Farming, Yield Prediction, Fertilizer Recommendation, Agricultural Decision Support System
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Abstract - This study presents the design, development, and evaluation of a Raspberry Pi–based automated garden irrigation system integrating soil moisture sensors, humidity and temperature monitoring, and weather forecast data to achieve precision water manag…
datacite
Kanade, Prakash
2025
置信度 0.66
Automated irrigationRaspberry PiIoT agricultureLeenaBOTsoil moisture control
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Abstract - This study presents the design, development, and evaluation of a Raspberry Pi–based automated garden irrigation system integrating soil moisture sensors, humidity and temperature monitoring, and weather forecast data to achieve precision water manag…
datacite
Kanade, Prakash
2025
置信度 0.66
Automated irrigationRaspberry PiIoT agricultureLeenaBOTsoil moisture control
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An IoT-based non-invasive wearable collar for monitoring the health and activity of native cattle using an ESP32-S3, MLX90614 infrared temperature sensor, MAX30102 PPG sensor, MPU6050 inertial sensor, VL53L0X time-of-flight sensor, and cloud-based data logging…
datacite
Adedokun, Ayobami, Ogundipe, Victor
2026
置信度 0.66
Internet of ThingsPrecision Livestock FarmingCattle MonitoringESP32-S3Embedded Systems
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An IoT-based non-invasive wearable collar for monitoring the health and activity of native cattle using an ESP32-S3, MLX90614 infrared temperature sensor, MAX30102 PPG sensor, MPU6050 inertial sensor, VL53L0X time-of-flight sensor, and cloud-based data logging…
datacite
Adedokun, Ayobami, Ogundipe, Victor
2026
置信度 0.66
Internet of ThingsPrecision Livestock FarmingCattle MonitoringESP32-S3Embedded Systems
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Artificial Intelligence (AI) is transforming agriculture by enabling intelligent systems for improved productivity and decision-making. This paper presents a multi-modal framework that integrates Convolutional Neural Networks (CNNs) and Random Forest-based Mac…
datacite
Deshmukh Harshal Dattatraya, Jagruti R. Mahajan, Dr. Hemant kumar B. Jadhav, Pragati B. Chandane 等
2026
置信度 0.66
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Artificial Intelligence (AI) is transforming agriculture by enabling intelligent systems for improved productivity and decision-making. This paper presents a multi-modal framework that integrates Convolutional Neural Networks (CNNs) and Random Forest-based Mac…
datacite
Deshmukh Harshal Dattatraya, Jagruti R. Mahajan, Dr. Hemant kumar B. Jadhav, Pragati B. Chandane 等
2026
置信度 0.66
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Agriculture plays a vital role in sustaining human life, as crop health directly impacts food security and economic development. One of the major challenges faced by farmers is the timely and accurate detection of plant diseases, especially leaf-based infectio…
datacite
Dr. Ravi L S, Dr. Vishwanath B R, Somashekar L A, Keerthana Y U 等
2026
置信度 0.66
Convolutional Neural NetworksYou Only Look Once Version 5
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Agriculture plays a vital role in sustaining human life, as crop health directly impacts food security and economic development. One of the major challenges faced by farmers is the timely and accurate detection of plant diseases, especially leaf-based infectio…
datacite
Dr. Ravi L S, Dr. Vishwanath B R, Somashekar L A, Keerthana Y U 等
2026
置信度 0.66
Convolutional Neural NetworksYou Only Look Once Version 5
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Cotton fiber, despite facing intensifying competition from synthetic alternatives particularly polyester, which commanded 59% of global fiber production in 2024 — retains indispensable attributes of breathability, biodegradability, and consumer preference. Thi…
datacite
Ahmadjonova Hamidaxon Ismoiljon qizi
2026
置信度 0.66
cotton fiber; textile industry competitiveness; value chain integration; sustainability certification; Uzbekistan textile sector; synthetic fiber competition; advanced ginning technology
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Cotton fiber, despite facing intensifying competition from synthetic alternatives particularly polyester, which commanded 59% of global fiber production in 2024 — retains indispensable attributes of breathability, biodegradability, and consumer preference. Thi…
datacite
Ahmadjonova Hamidaxon Ismoiljon qizi
2026
置信度 0.66
cotton fiber; textile industry competitiveness; value chain integration; sustainability certification; Uzbekistan textile sector; synthetic fiber competition; advanced ginning technology
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The Planetary Laboratory: A Unified Hypothesis of Continuous Presence in the Middle East and Imminent Intervention Author: Mohammad hosiyn fadaiy Affiliation: Independent Researcher Date:mohammad.fadaiy8787@gmail.com Abstract This paper presents a unified hypo…
datacite
Fadaiy, Mohammed
2026
置信度 0.66
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The Planetary Laboratory: A Unified Hypothesis of Continuous Presence in the Middle East and Imminent Intervention Author: Mohammad hosiyn fadaiy Affiliation: Independent Researcher Date:mohammad.fadaiy8787@gmail.com Abstract This paper presents a unified hypo…
datacite
Fadaiy, Mohammed
2026
置信度 0.66
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Timely identification of crop diseases is essential for improving agricultural productivity and ensuring food security. This paper presents an intelligent crop disease detection framework that integrates Unmanned Aerial Vehicles (UAVs), Internet of Things (IoT…
datacite
Sushanta Kumar Mohanty, Abha Mahalwar, Sidhartha Sankar Dora, Chandrakant Mallick
2026
置信度 0.66
UAVCrop Disease DetectionDeep LearningCNN–LSTMIoT
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Timely identification of crop diseases is essential for improving agricultural productivity and ensuring food security. This paper presents an intelligent crop disease detection framework that integrates Unmanned Aerial Vehicles (UAVs), Internet of Things (IoT…
datacite
Sushanta Kumar Mohanty, Abha Mahalwar, Sidhartha Sankar Dora, Chandrakant Mallick
2026
置信度 0.66
UAVCrop Disease DetectionDeep LearningCNN–LSTMIoT
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Agriculture is still a staple of food security but the global productivity is threatened by the disease on plants. Traditional methods of manual inspection are usually subjective, time consuming and unproductive and are not conducive to being monitored industr…
datacite
Harish Kunder, M B Thimmaraju, Abhishek koli, Theja Suryachar P J 等
2026
置信度 0.66
Deep Learning, Convolution Neural Networks (CNNs), Plant Disease Detection, Precision Agriculture, Image Classification, Crop Disease Diagnosis, Edge Deployment, Smart Agriculture, Data Augmentation
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Agriculture is still a staple of food security but the global productivity is threatened by the disease on plants. Traditional methods of manual inspection are usually subjective, time consuming and unproductive and are not conducive to being monitored industr…
datacite
Harish Kunder, M B Thimmaraju, Abhishek koli, Theja Suryachar P J 等
2026
置信度 0.66
Deep Learning, Convolution Neural Networks (CNNs), Plant Disease Detection, Precision Agriculture, Image Classification, Crop Disease Diagnosis, Edge Deployment, Smart Agriculture, Data Augmentation
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This work presents a farmer-oriented assistant that combines real-time crop detection with knowledge-based agronomic guidance. The system uses a YOLOv5-based computer vision module to detect crops and visually annotate images and videos with bounding boxes and…
datacite
Aditya S, E Jerrish Daniel, Harshavardhan HR
2026
置信度 0.66
Keywords, fuzzy token overlap, and semantic embeddings with FAISS, YOLOv5 can identify crops or symptoms in images and videos in real time, YOLOv5-based crop detection pipeline, this project fills that gap With MySQL.
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This work presents a farmer-oriented assistant that combines real-time crop detection with knowledge-based agronomic guidance. The system uses a YOLOv5-based computer vision module to detect crops and visually annotate images and videos with bounding boxes and…
datacite
Aditya S, E Jerrish Daniel, Harshavardhan HR
2026
置信度 0.66
Keywords, fuzzy token overlap, and semantic embeddings with FAISS, YOLOv5 can identify crops or symptoms in images and videos in real time, YOLOv5-based crop detection pipeline, this project fills that gap With MySQL.
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Plant diseases are very challenging to agriculture since they reduce crop production and also biodiversity. The timely identification of diseases is essential in the safeguarding of food and the sustainability of ecosystems. This study employs the use of signa…
datacite
Dr. Shashank Dattatray Kulkarni, Dr. Rijo Jackson Tom, Mrs Sudha .M, Dr. Madhusri Pramanik, Arvind Kumar, Suparna Panchanan
2026
置信度 0.66
Plant disease detection, Image processing, Deep learning, Convolutional Neural Networks (CNN), Biodiversity conservation
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Plant diseases are very challenging to agriculture since they reduce crop production and also biodiversity. The timely identification of diseases is essential in the safeguarding of food and the sustainability of ecosystems. This study employs the use of signa…
datacite
Dr. Shashank Dattatray Kulkarni, Dr. Rijo Jackson Tom, Mrs Sudha .M, Dr. Madhusri Pramanik, Arvind Kumar, Suparna Panchanan
2026
置信度 0.66
Plant disease detection, Image processing, Deep learning, Convolutional Neural Networks (CNN), Biodiversity conservation
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Whole-Plant Energy Survival Explains Stress-Induced Loss of Sweetness and Fragrance: A Unified Survival-Based Energy Framework for Plant Sweetness, Taste, and Fragrance This research presents a unified survival-based energy framework for explaining how environ…
datacite
Mokhdum Azam Mashrafi, Mokhdum Azam Mashrafi
2026
置信度 0.66
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Whole-Plant Energy Survival Explains Stress-Induced Loss of Sweetness and Fragrance: A Unified Survival-Based Energy Framework for Plant Sweetness, Taste, and Fragrance This research presents a unified survival-based energy framework for explaining how environ…
datacite
Mokhdum Azam Mashrafi, Mokhdum Azam Mashrafi
2026
置信度 0.66
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This factsheet presents Crop Farming Digital Agriculture Technology Solutions (DATSs) focused on Variable Rate Technologies (VRT), which enable the precise and automated application of inputs such as fertilisers, pesticides, and water according to field variab…
datacite
AUA, reframe.food
2026
置信度 0.66
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This factsheet presents Crop Farming Digital Agriculture Technology Solutions (DATSs) focused on Variable Rate Technologies (VRT), which enable the precise and automated application of inputs such as fertilisers, pesticides, and water according to field variab…
datacite
AUA, reframe.food
2026
置信度 0.66
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Accurate plant species identification is a fundamental challenge in botany, agriculture, and ecological conservation, yet traditional manual approaches are time-consuming, error-prone, and require significant domain expertise. This paper presents a Next-Genera…
datacite
J.Vijayaragavan
2026
置信度 0.66
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Accurate plant species identification is a fundamental challenge in botany, agriculture, and ecological conservation, yet traditional manual approaches are time-consuming, error-prone, and require significant domain expertise. This paper presents a Next-Genera…
datacite
J.Vijayaragavan
2026
置信度 0.66
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The timely and precise diagnosis of plant diseases is important in improving the yield of crops, reducing economic losses as well as sustainable agricultural production. The paper postulates a multi-model plant disease classification system, which combines dee…
datacite
S. Muthuvel, Shalban S, Sanio Raj R
2026
置信度 0.66
Plant disease detection, Deep learning, Machine learning, Multimodal fusion, Image classification, Precision agriculture
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The timely and precise diagnosis of plant diseases is important in improving the yield of crops, reducing economic losses as well as sustainable agricultural production. The paper postulates a multi-model plant disease classification system, which combines dee…
datacite
S. Muthuvel, Shalban S, Sanio Raj R
2026
置信度 0.66
Plant disease detection, Deep learning, Machine learning, Multimodal fusion, Image classification, Precision agriculture
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Abstract Artificial Intelligence (AI) has emerged as a transformative force in addressing global Artificial Intelligence has increasingly emerged as a foundational technology supporting sustainable development by enabling intelligent analysis, automation, and …
datacite
Anarase, Lalasaheb Popat, Shinde, Akshay Abasaheb
2026
置信度 0.66
Artificial Intelligence (AI), Sustainable Development, Sustainable Development Goals (SDGs), Machine Learning, Climate Action, Precision Agriculture, Healthcare Analytics, Smart Cities, Renewable Energy, Predictive Modeling, Ethical AI, Data-Driven Decision Making.
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Abstract Artificial Intelligence (AI) has emerged as a transformative force in addressing global Artificial Intelligence has increasingly emerged as a foundational technology supporting sustainable development by enabling intelligent analysis, automation, and …
datacite
Anarase, Lalasaheb Popat, Shinde, Akshay Abasaheb
2026
置信度 0.66
Artificial Intelligence (AI), Sustainable Development, Sustainable Development Goals (SDGs), Machine Learning, Climate Action, Precision Agriculture, Healthcare Analytics, Smart Cities, Renewable Energy, Predictive Modeling, Ethical AI, Data-Driven Decision Making.
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This dataset contains 325 RGB images and 325 corresponding pixel-wise semantic segmentation masks for corn and weed detection. The image files are named img0 to img324, and the corresponding masks are named mask0 to mask324. Each image and mask pair share the …
datacite
Marinas, Vlad
2026
置信度 0.66
semantic segmentationcomputer visionmaizeweedprecision agriculture
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This dataset contains 325 RGB images and 325 corresponding pixel-wise semantic segmentation masks for corn and weed detection. The image files are named img0 to img324, and the corresponding masks are named mask0 to mask324. Each image and mask pair share the …
datacite
Marinas, Vlad
2026
置信度 0.66
semantic segmentationcomputer visionmaizeweedprecision agriculture
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Soil nutrient management is essential for improving agricultural productivity and promoting sustainable farming practices. However, many small-scale farmers in Uganda have limited access to affordable and timely soil testing services. This paper presents an In…
datacite
Nahurira, Didas
2026
置信度 0.66
IoT, Soil Nutrient Detection, NPK Sensor, Machine Learning, Random Forest, Precision Agriculture, Crop Recommendation, Smart Agriculture Uganda
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Soil nutrient management is essential for improving agricultural productivity and promoting sustainable farming practices. However, many small-scale farmers in Uganda have limited access to affordable and timely soil testing services. This paper presents an In…
datacite
Nahurira, Didas
2026
置信度 0.66
IoT, Soil Nutrient Detection, NPK Sensor, Machine Learning, Random Forest, Precision Agriculture, Crop Recommendation, Smart Agriculture Uganda
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Paper wireless sensor networks is a growing class of highly dynamic, complex network environment on top of which a wide range of applications, such as habitat monitoring, object tracking, precision agriculture, building monitoring and military systems are buil…
datacite
D. Karanjawane, Ashwini, W. Rohankar, Atul, Mali, S. D., Agarkar, A. A.
2013
置信度 0.66
CongestionReliabilityTransport layer ProtocolUrgent data transmissionWireless Sensor Network
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Paper wireless sensor networks is a growing class of highly dynamic, complex network environment on top of which a wide range of applications, such as habitat monitoring, object tracking, precision agriculture, building monitoring and military systems are buil…
datacite
D. Karanjawane, Ashwini, W. Rohankar, Atul, Mali, S. D., Agarkar, A. A.
2013
置信度 0.66
CongestionReliabilityTransport layer ProtocolUrgent data transmissionWireless Sensor Network
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The rapid expansion of urban agriculture and home-based food production has intensified the need for intelligent, resource-efficient gardening systems capable of adapting to dynamic environmental conditions. Conventional automated irrigation systems predominan…
datacite
Sodikova, Zakhro
2026
置信度 0.66
Automation In Smart; Intelligent Monitoring; Smart Gardening; AI-Integrated IoT System; System For Intelligent
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The rapid expansion of urban agriculture and home-based food production has intensified the need for intelligent, resource-efficient gardening systems capable of adapting to dynamic environmental conditions. Conventional automated irrigation systems predominan…
datacite
Sodikova, Zakhro
2026
置信度 0.66
Automation In Smart; Intelligent Monitoring; Smart Gardening; AI-Integrated IoT System; System For Intelligent
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Agriculture faces major challenges such as inefficient pesticide application and crop damage caused by wild animals. This paper presents the design and implementation of a multifunctional unmanned aerial vehicle (UAV) for precision crop spraying and wild anima…
datacite
Kangne, Krushna D., Kolhe, Yash S., Gaikwad, Harshal R., Labhade, Aditya S. 等
2026
置信度 0.66
Agricultural Spraying Drone; Precision Agriculture; UAV; Autonomous Spraying; Wild Animal Deterrence; GPS Navigation; Smart Farming
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Agriculture faces major challenges such as inefficient pesticide application and crop damage caused by wild animals. This paper presents the design and implementation of a multifunctional unmanned aerial vehicle (UAV) for precision crop spraying and wild anima…
datacite
Kangne, Krushna D., Kolhe, Yash S., Gaikwad, Harshal R., Labhade, Aditya S. 等
2026
置信度 0.66
Agricultural Spraying Drone; Precision Agriculture; UAV; Autonomous Spraying; Wild Animal Deterrence; GPS Navigation; Smart Farming
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This is a preview sample (150 images) of a larger, fully procedurally generated synthetic dataset for crop-versus-weed object detection in maize fields. The images are top-down RGB renders (1024x1024 PNG) produced by a domain-randomized procedural field genera…
datacite
Esfandiyar, Iman
2026
置信度 0.66
synthetic dataprocedural generationdomain randomizationcrop-weed detectionweed detection
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This is a preview sample (150 images) of a larger, fully procedurally generated synthetic dataset for crop-versus-weed object detection in maize fields. The images are top-down RGB renders (1024x1024 PNG) produced by a domain-randomized procedural field genera…
datacite
Esfandiyar, Iman
2026
置信度 0.66
synthetic dataprocedural generationdomain randomizationcrop-weed detectionweed detection
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The use of
datacite
Borkar, Pradnya S., Balpande, Dr. Vijaya, Mandekar, Ujjawala Hemant
2018
置信度 0.66
IoT in AgriculturePrecision AgricultureAgriTechInternet of ThingsIoT Sensors
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The use of
datacite
Borkar, Pradnya S., Balpande, Dr. Vijaya, Mandekar, Ujjawala Hemant
2018
置信度 0.66
IoT in AgriculturePrecision AgricultureAgriTechInternet of ThingsIoT Sensors
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15 Next-Generation Technology Adoption for Food & Agri Sustainability Toward Safer Food: An Indian Perspective Sweta Singh1*, Niraj Kumar2, Kunal Singh3 1Faculty, State institute of Food processing and technology, Lucknow (U.P) 2Faculty of Engineering & Techno…
datacite
Singh, Sweta, Kumar, Niraj, Singh, Kunal
2026
置信度 0.66
Agronomy
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15 Next-Generation Technology Adoption for Food & Agri Sustainability Toward Safer Food: An Indian Perspective Sweta Singh1*, Niraj Kumar2, Kunal Singh3 1Faculty, State institute of Food processing and technology, Lucknow (U.P) 2Faculty of Engineering & Techno…
datacite
Singh, Sweta, Kumar, Niraj, Singh, Kunal
2026
置信度 0.66
Agronomy
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The Pure-Milk Green Finance Matrix is a mathematically optimized, closed-loop agritech infrastructure model designed to break the political gridlock between economic growth and environmental protection. By holding dairy herd numbers steady to preserve New Zeal…
datacite
Seagal, David Michael
2026
置信度 0.66
1. Green Finance & Macroeconomics Green Finance Matrix, Sovereign Green Bonds, Inward Foreign Direct Investment (FDI), 70/30 Profit Sharing, Accelerated Tax Depreciation, KiwiSaver Reinvestment Loop, Scope 3 Supply Chain Arbitrage, Capital Improvement Leases, Resource Economics, Public-Private Partnerships (PPP). 2. Agritech & Digital Farming Starlink Agriculture Telemetry, Halter Virtual Fencing, Real-time Soil Telemetry, Precision Livestock Farming (PLF), Automated Dosing Algorithms, Algorithmic Herd Management, Smart Tag Sensor Networks, Autonomous Agri-logistics. 3. Regenerative Botany & Hydroponics Modular Hydroponic Forage, Biosecure Pod Manufacturing, Plant Tissue Banks, Cut-and-Carry Silage Loops, Low-Leaching Pastures, Ecotain Plantain, Chicory Forage Crops, Multi-tier Agroforestry, Sustainable Feedstocks, Import Replacement. 4. Climate Tech & Engineering Methanotrophic Atmospheric Scrubbing, Methane-Eating Bacteria, Electrochemical Direct Air Capture (DAC), Sodium Rebreather Technology, Green Oxygen Production, On-Site Solar Micro-grids, Effluent Pond Bio-digesters, Renewable Utility Arbitrage, Maritime Carbon Credits. 5. Freshwater Protection & Public Health Dual-Layer Water Filtration Shield, Municipal Ion-Exchange Upgrades, Point-of-Entry Reverse Osmosis, Aquifer Hydrology Lag, Nitrate Contamination Mitigation, Catchment Health Dashboards, Groundwater Flushing, Biosecurity Firewalls, Rural Health Infrastructure. 6. Agribusiness & Labour Sharemilker Equity Contracts, Infrastructure Dividends, High-Wage Trade Job Creation, Technical Knowledge Transfer, Agritech Apprenticeships, New Zealand Agribusiness Innovation, Sustainable Dairy Supply Chains, Premium Value-Over-Volume.
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The Pure-Milk Green Finance Matrix is a mathematically optimized, closed-loop agritech infrastructure model designed to break the political gridlock between economic growth and environmental protection. By holding dairy herd numbers steady to preserve New Zeal…
datacite
Seagal, David Michael
2026
置信度 0.66
1. Green Finance & Macroeconomics Green Finance Matrix, Sovereign Green Bonds, Inward Foreign Direct Investment (FDI), 70/30 Profit Sharing, Accelerated Tax Depreciation, KiwiSaver Reinvestment Loop, Scope 3 Supply Chain Arbitrage, Capital Improvement Leases, Resource Economics, Public-Private Partnerships (PPP). 2. Agritech & Digital Farming Starlink Agriculture Telemetry, Halter Virtual Fencing, Real-time Soil Telemetry, Precision Livestock Farming (PLF), Automated Dosing Algorithms, Algorithmic Herd Management, Smart Tag Sensor Networks, Autonomous Agri-logistics. 3. Regenerative Botany & Hydroponics Modular Hydroponic Forage, Biosecure Pod Manufacturing, Plant Tissue Banks, Cut-and-Carry Silage Loops, Low-Leaching Pastures, Ecotain Plantain, Chicory Forage Crops, Multi-tier Agroforestry, Sustainable Feedstocks, Import Replacement. 4. Climate Tech & Engineering Methanotrophic Atmospheric Scrubbing, Methane-Eating Bacteria, Electrochemical Direct Air Capture (DAC), Sodium Rebreather Technology, Green Oxygen Production, On-Site Solar Micro-grids, Effluent Pond Bio-digesters, Renewable Utility Arbitrage, Maritime Carbon Credits. 5. Freshwater Protection & Public Health Dual-Layer Water Filtration Shield, Municipal Ion-Exchange Upgrades, Point-of-Entry Reverse Osmosis, Aquifer Hydrology Lag, Nitrate Contamination Mitigation, Catchment Health Dashboards, Groundwater Flushing, Biosecurity Firewalls, Rural Health Infrastructure. 6. Agribusiness & Labour Sharemilker Equity Contracts, Infrastructure Dividends, High-Wage Trade Job Creation, Technical Knowledge Transfer, Agritech Apprenticeships, New Zealand Agribusiness Innovation, Sustainable Dairy Supply Chains, Premium Value-Over-Volume.
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Maize is a crop of paramount importance for global food and feed production, yet its growth is frequently threatened by insect pests. Among these, the beet armyworm (Spodoptera exigua) is a major pest that inflicts severe damage during the seedling stage. Accu…
datacite
Zhong, Chengcheng, Liu, YIchen, Zhang, Zitong, Zhang, Kai
2026
置信度 0.66
MaizeAgriculture
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Maize is a crop of paramount importance for global food and feed production, yet its growth is frequently threatened by insect pests. Among these, the beet armyworm (Spodoptera exigua) is a major pest that inflicts severe damage during the seedling stage. Accu…
datacite
Zhong, Chengcheng, Liu, YIchen, Zhang, Zitong, Zhang, Kai
2026
置信度 0.66
MaizeAgriculture
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Abstract : Fruit ripening is a complex, finely regulated developmental process that transitions fruit from growth to senescence, resulting in enhanced sensory and nutritional attributes. These changes are orchestrated through coordinated physiological, biochem…
datacite
B. K. Mishra1, Mayank Chaturvedi2, Ravi Pratap Singh3, N. K. Tiwari4, Joginder Singh5
2025
置信度 0.66
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Abstract : Fruit ripening is a complex, finely regulated developmental process that transitions fruit from growth to senescence, resulting in enhanced sensory and nutritional attributes. These changes are orchestrated through coordinated physiological, biochem…
datacite
B. K. Mishra1, Mayank Chaturvedi2, Ravi Pratap Singh3, N. K. Tiwari4, Joginder Singh5
2025
置信度 0.66
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This dataset contains synthetic soil fertility data developed for machine learning-based soil classification, soil fertility prediction, and fertilizer recommendation research. The dataset includes relevant soil properties and agricultural parameters that can …
datacite
Research Scholar, Lakshmi R
2026
置信度 0.66
Agricultural Soil
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This dataset contains synthetic soil fertility data developed for machine learning-based soil classification, soil fertility prediction, and fertilizer recommendation research. The dataset includes relevant soil properties and agricultural parameters that can …
datacite
Research Scholar, Lakshmi R
2026
置信度 0.66
Agricultural Soil
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For the latest updates, raw source code, and interactive usage instructions, please visit our GitHub repository: https://github.com/sherman6931/Single-View-Metrology-for-Maize-Height-Estimation This repository contains the samples, the demo app, and 3D simulat…
datacite
Li, Yizhe, Tang, Feiyu
2026
置信度 0.66
Single View MetrologyYOLOv11n-PoseHough TransformPlant HeightCrop Breeding
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For the latest updates, raw source code, and interactive usage instructions, please visit our GitHub repository: https://github.com/sherman6931/Single-View-Metrology-for-Maize-Height-Estimation This repository contains the samples, the demo app, and 3D simulat…
datacite
Li, Yizhe, Tang, Feiyu
2026
置信度 0.66
Single View MetrologyYOLOv11n-PoseHough TransformPlant HeightCrop Breeding
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Research Hypothesis This study tests the hypothesis that a hybrid machine‑learning framework integrating enhanced evolutionary feature selection (Bees Royalty Offspring Algorithm, BROA) with Gradient Boosting Regression (GBR) can accurately predict wild bluebe…
datacite
Jamshidnezhad, Amir, Singh, Anika
2026
置信度 0.66
Machine LearningYield AnalysisCrop Yield
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Research Hypothesis This study tests the hypothesis that a hybrid machine‑learning framework integrating enhanced evolutionary feature selection (Bees Royalty Offspring Algorithm, BROA) with Gradient Boosting Regression (GBR) can accurately predict wild bluebe…
datacite
Jamshidnezhad, Amir, Singh, Anika
2026
置信度 0.66
Machine LearningYield AnalysisCrop Yield
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This country deep-dive report, produced by GFI Europe (Good Food Institute Europe), maps Denmark's research and innovation ecosystem for alternative proteins – spanning plant-based proteins, precision fermentation, and cultivated meat and seafood – across 2020…
datacite
Child, Stella, Hunt, David, Good Food Institute Europe
2026
置信度 0.66
alternative proteinsBibliometricsplant-basedPlant Proteins, DietaryMeat Substitutes
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This country deep-dive report, produced by GFI Europe (Good Food Institute Europe), maps Denmark's research and innovation ecosystem for alternative proteins – spanning plant-based proteins, precision fermentation, and cultivated meat and seafood – across 2020…
datacite
Child, Stella, Hunt, David, Good Food Institute Europe
2026
置信度 0.66
alternative proteinsBibliometricsplant-basedPlant Proteins, DietaryMeat Substitutes
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Abstract Early detection of plant diseases is critical for improving crop yield, reducing economic losses, and ensuring sustainable agriculture. Recent advancements in artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), hav…
datacite
Ranveer Singh, Ritesh Mishra, Shubham Kumar Tripathi, Saroj Singh
2026
置信度 0.66
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Abstract Early detection of plant diseases is critical for improving crop yield, reducing economic losses, and ensuring sustainable agriculture. Recent advancements in artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), hav…
datacite
Ranveer Singh, Ritesh Mishra, Shubham Kumar Tripathi, Saroj Singh
2026
置信度 0.66
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The dataset provides a regional Soil Organic Carbon (SOC) prediction map for croplands in Central Macedonia, Greece, generated within the ScaleAgData project, which focuses on scaling local agricultural data into regional agri-environmental products . The map …
datacite
Ampas, Haris, Chadoulos, Christos, Karyotis, Konstantinos, Zalidis, George
2026
置信度 0.66
Soil fertilitySoil Organic CarbonEarth observation
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The dataset provides a regional Soil Organic Carbon (SOC) prediction map for croplands in Central Macedonia, Greece, generated within the ScaleAgData project, which focuses on scaling local agricultural data into regional agri-environmental products . The map …
datacite
Ampas, Haris, Chadoulos, Christos, Karyotis, Konstantinos, Zalidis, George
2026
置信度 0.66
Soil fertilitySoil Organic CarbonEarth observation
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This paper explores how quantum mechanics can revolutionize weather forecasting by enhancing data assimilation, prediction models, and atmospheric sensing. By applying quantum computing, sensors, entanglement, and coherence, this framework aims to improve weat…
datacite
Ramon Moses
2024
置信度 0.66
Quantitative analysisQuantum computersQuantum physicsRamon MosesA-PR2921
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This paper explores how quantum mechanics can revolutionize weather forecasting by enhancing data assimilation, prediction models, and atmospheric sensing. By applying quantum computing, sensors, entanglement, and coherence, this framework aims to improve weat…
datacite
Ramon Moses
2024
置信度 0.66
Quantitative analysisQuantum computersQuantum physicsRamon MosesA-PR2921
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Horticulture has emerged as one of the most dynamic and rapidly advancing sectors in agriculture, contributing significantly to nutritional security, economic development, environmental sustainability, and livelihood generation. With the growing challenges of …
datacite
Abhishek, Santosh Mavinalli, Dr. Yogesh M, Dr. Pramod B S 等
2026
置信度 0.66
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Horticulture has emerged as one of the most dynamic and rapidly advancing sectors in agriculture, contributing significantly to nutritional security, economic development, environmental sustainability, and livelihood generation. With the growing challenges of …
datacite
Abhishek, Santosh Mavinalli, Dr. Yogesh M, Dr. Pramod B S 等
2026
置信度 0.66
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Agricultural production requires low-cost sensors capable of delivering reliable, high-resolution data across large areas. Rising food demand, limited arable land, and severe soil degradation have accelerated the adsorption of precision agriculture, which reli…
datacite
Panáček, David, Kupka, Vojtech, Nalepa, Martin-Alex, Dědek, Ivan 等
2026
置信度 0.66
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Agricultural production requires low-cost sensors capable of delivering reliable, high-resolution data across large areas. Rising food demand, limited arable land, and severe soil degradation have accelerated the adsorption of precision agriculture, which reli…
datacite
Panáček, David, Kupka, Vojtech, Nalepa, Martin-Alex, Dědek, Ivan 等
2026
置信度 0.66
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07 Biochar and Soil Carbon Management Arpita Mishra1, Hirak Banerjee1, Sushree Panda2 1Bidhan Chadra Krishi Viswavidyalaya, Department of Agronomy, Nadia, West Bengal. 2Kalinga Institute of Social Sciences, Department of Natural Farming, Bhubaneswar, Odisha. C…
datacite
Mishra, Arpita, Banerjee, Hirak, Panda, Sushree
2026
置信度 0.66
Agronomy
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07 Biochar and Soil Carbon Management Arpita Mishra1, Hirak Banerjee1, Sushree Panda2 1Bidhan Chadra Krishi Viswavidyalaya, Department of Agronomy, Nadia, West Bengal. 2Kalinga Institute of Social Sciences, Department of Natural Farming, Bhubaneswar, Odisha. C…
datacite
Mishra, Arpita, Banerjee, Hirak, Panda, Sushree
2026
置信度 0.66
Agronomy
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This paper explores the revolutionary application of quantum mechanics in agriculture, introducing quantum computing, sensing, entanglement, coherence, and resonance as tools to advance precision farming, crop yield, resource efficiency, and ecological sustain…
datacite
Ramon Moses
2024
置信度 0.66
Quantum physicsQuantum FarmingRamon Moses
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This paper explores the revolutionary application of quantum mechanics in agriculture, introducing quantum computing, sensing, entanglement, coherence, and resonance as tools to advance precision farming, crop yield, resource efficiency, and ecological sustain…
datacite
Ramon Moses
2024
置信度 0.66
Quantum physicsQuantum FarmingRamon Moses
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Replication package for the Kisan Intel agricultural intelligence platform. Contains trained model artefacts (crop recommendation Random Forest, cereal-subset XGBoost yield regressor, fertilizer classifier), training and evaluation scripts, the Flask REST API …
datacite
T R, GOUTHAM T R, Shwetha A, Shwetha
2026
置信度 0.66
precision agriculture, crop recommendation, yield prediction, machine learning, reproducibility
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Replication package for the Kisan Intel agricultural intelligence platform. Contains trained model artefacts (crop recommendation Random Forest, cereal-subset XGBoost yield regressor, fertilizer classifier), training and evaluation scripts, the Flask REST API …
datacite
T R, GOUTHAM T R, Shwetha A, Shwetha
2026
置信度 0.66
precision agriculture, crop recommendation, yield prediction, machine learning, reproducibility
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Agriculture plays a vital role in ensuring both and potential financial setbacks. Advancements in machine learning offer promising solutions to these challenges by selecting the most suitable crops remains a significant enabling data-driven decision-making in …
datacite
Prof. S. V. Shinde, Mr. Adiraj Khandve, Ms. Siddhi Kawade, Mr. Harshal Ghule 等
2026
置信度 0.66
Smart FarmingCrop RecommendationRandom ForestMachine LearningEnvironmental Awareness
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Agriculture plays a vital role in ensuring both and potential financial setbacks. Advancements in machine learning offer promising solutions to these challenges by selecting the most suitable crops remains a significant enabling data-driven decision-making in …
datacite
Prof. S. V. Shinde, Mr. Adiraj Khandve, Ms. Siddhi Kawade, Mr. Harshal Ghule 等
2026
置信度 0.66
Smart FarmingCrop RecommendationRandom ForestMachine LearningEnvironmental Awareness
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In precision agriculture, the data acquired by sensors are classified into groups according to a variety of parameters, including the existence of animals, the degree to which soil nutrition is present, and the quantity of soil moisture. In the event that any …
datacite
Gargi, Rajesh, Rani, Veena, Harjot
2022
置信度 0.66
Cloud ComputingAgriculture precisionAccuracyPerformance
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In precision agriculture, the data acquired by sensors are classified into groups according to a variety of parameters, including the existence of animals, the degree to which soil nutrition is present, and the quantity of soil moisture. In the event that any …
datacite
Gargi, Rajesh, Rani, Veena, Harjot
2022
置信度 0.66
Cloud ComputingAgriculture precisionAccuracyPerformance
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ABSTRACT Water scarcity and high evapotranspiration rates pose significant challenges to agricultural productivity in semi-arid regions. This study describes the development and field assessment of an artificial intelligence-integrated, Internet of Things-base…
datacite
CEDTECH PUBLICATION
2026
置信度 0.66
Keywords: IoT, Smart Irrigation, Random Forest Regression, Raspberry Pi, Modbus RTU, Flow Meter, Water Efficiency.
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ABSTRACT Water scarcity and high evapotranspiration rates pose significant challenges to agricultural productivity in semi-arid regions. This study describes the development and field assessment of an artificial intelligence-integrated, Internet of Things-base…
datacite
CEDTECH PUBLICATION
2026
置信度 0.66
Keywords: IoT, Smart Irrigation, Random Forest Regression, Raspberry Pi, Modbus RTU, Flow Meter, Water Efficiency.
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Accurate prediction of wheat yield is essential for ensuring global food security and enabling data-driven agricultural policy decisions. This study presents a comparative analysis of two prom-inent ensemble machine learning algorithms—Random Forest (RF) and E…
datacite
Ambuj Kumar Misra
2026
置信度 0.66
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Accurate prediction of wheat yield is essential for ensuring global food security and enabling data-driven agricultural policy decisions. This study presents a comparative analysis of two prom-inent ensemble machine learning algorithms—Random Forest (RF) and E…
datacite
Ambuj Kumar Misra
2026
置信度 0.66
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Thermal-based remote sensing of surface energy fluxes has traditionally relied on high spatial resolution satellite data with revisit frequencies on the order of weeks. In this study, we evaluate a biophysics-based analytical surface energy balance model for p…
datacite
Cross, James, Mallick, Kanishka, Aslan-Sungur, Guler, VanLoocke, Andy 等
2026
置信度 0.66
Surface energyevapotranspirationMachine learningPrecision agriculturePlant transpiration
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Thermal-based remote sensing of surface energy fluxes has traditionally relied on high spatial resolution satellite data with revisit frequencies on the order of weeks. In this study, we evaluate a biophysics-based analytical surface energy balance model for p…
datacite
Cross, James, Mallick, Kanishka, Aslan-Sungur, Guler, VanLoocke, Andy 等
2026
置信度 0.66
Surface energyevapotranspirationMachine learningPrecision agriculturePlant transpiration