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• On-policy Actor-Critic Reinforcement Learning for Multi-UAV Exploration
  Abstract Unmanned aerial vehicles (UAVs) have become increasingly popular in various fields, including precision agriculture, search and rescue, and remote sensing. However, exploring unknown environments remains a significant challenge. This study aims to add…
  preprints 2024 置信度 0.74
• Low-cost alternative for monitoring soil erosion based on UAV imagery
  In anthropized environments such as agricultural zones, soil degradation significantly impacts crop productivity, environmental and economic Sustainability. This degradation is often accelerated by man with inadequate management. The risks associated with soil…
  preprints 2024 置信度 0.74
• Precision Farming: A New Era of Antibiotic-Free Agriculture
  Precision farming is transforming how antibiotics get used on farms. It fights the overuse that creates superbugs and harms nature. Farmers now have high-tech tools to use antibiotics ultra-precisely. Drones, AI, and advanced watering equipment help them pinpo…
  preprints Hemant Bothe, Laxmikant Kamble, Santosh Bothe 2024 置信度 0.74
• TEA SOIL: Self-Power IoT for Precision Soil Farming of Tea Plant Cultivation
  In agriculture identifying the "nature of the soil" is a significant phase for serval sorts of landscapes. Even though numerous studies have been conducted for continuous soil health monitoring, however, existing techniques face challenges like labor-intensive…
  preprints 2024 置信度 0.74
• Sensor Based Agriculture and Horticulture Crop Production(Application of Sensors)
  In recent years, the integration of sensors in agriculture has emerged as a pivotal catalyst for transforming conventional farming practices into precision agriculture. Sensor application is impacting the everyday objects that enhance human life. In this speci…
  preprints 2024 置信度 0.74
• Agriculture Enhancement Using Machine Learning With React
  Abstract Crop recommendation is a crucial duty in agriculture for optimizing crop yield and soil control practices. Traditional techniques rely closely on professional information and manual analysis, which can be time-eating and at risk of human errors. In re…
  preprints 2024 置信度 0.74
• Revolutionizing Plant Disease Detection in Agriculture: a Comparative Study of Yolov5 and Yolov8 Deep Learning Models
  Object detection stands as a pivotal task within computer vision, finding extensive use across various domains. Recent years have witnessed a transformative shift in object detection thanks to deep learning methodologies, with You Only Look Once(YOLO) emerging…
  preprints 2024 置信度 0.74
• An Enhanced Deep Learning approach for crop health monitoring and disease prediction
  Abstract Global warming and lack of immunity in crops have recently resulted in a significant increase in the spread of agricultural diseases. This leads to large-scale crop destruction, less cultivation, and ultimately financial loss for farmers. Identificati…
  preprints 2024 置信度 0.74
• Mapping the Landscape of Climate-Smart Agriculture and Food Loss: A Bibliometric and Bibliographic Analysis
  This literature review paper delves into the synergies between Climate-Smart Agriculture (CSA) and the effective management of food losses. With the escalating challenges posed by climate change and the pressing need to address food security concerns, the inte…
  preprints 2024 置信度 0.74
• Weather Forecasting Using Machine Learning Techniques: Rainfall and Temperature Analysis
  Heavy rains result in significant threats to human health and life. Floods and other natural disasters, which have a global impact annually, can be attributed to extended periods of intense precipitation. Accurate rainfall prediction is crucial in nations such…
  preprints 2024 置信度 0.74
• Real-time soil surface roughnes measurement using optical range-finder sensor
  Abstract Surface roughness measurements of agricultural soils play a critical role in assessing various factors, including tillage performance, surface water retention, soil resistance to rainfall-induced failure, seedbed preparation, and surface runoff manage…
  preprints 2024 置信度 0.74
• Comparative Analysis of CNN, EFFICIENTNET and RESNET for Grape and Potato leaves Disease Prediction: A Deep Learning Approach.
  Abstract Grapes and potato, both a crucial component of the global agricultural economy, are susceptible to various diseases that can adversely affect crop quality and yield. Recently, the use of Deep Learning (DL) techniques in agriculture has shown potential…
  preprints 2024 置信度 0.74
• Measuring the influence of key management decisions on the nitrogen nutritional status of annual ryegrass-based forage crops
  Increasing nitrogen use efficiency (NUE) by improving agricultural practices, soil knowledge and implementing precision agriculture, is essential to reduce the overuse of fertilisers and increase nutrient retention. This study aimed to optimise N management in…
  preprints 2024 置信度 0.74
• Enhancing Crop Yield Estimation from Remote Sensing Data: A Comparative Study of the Quartile Clean Image Method and Vision Transformer
  Abstract The use of high-altitude remote sensing (RS) data from aerial and satellite platforms presents considerable challenges for agricultural monitoring and crop yield estimation due to the presence of noise caused by atmospheric interference, sensor anomal…
  preprints 2024 置信度 0.74
• A Comprehensive Analysis with Machine Learning Algorithm and IoT Integration in Hydroponic Vegetable System for Nu-trition Management of Plants/Crops
  The aim of this article is to discuss the transformative amalgamation of Internet of Things and Machine Learning technologies within the domain of vegetable hydroponic systems for nutrition management. Hydroponics, being an efficient cultivation method, benefi…
  preprints 2024 置信度 0.74
• Detection of Individual Crop and Canopy Delineation from UAV Imagery
  Precise monitoring of individual crop growth and health status is crucial for precision agriculture practices. However, traditional manual inspection methods are time-consuming, labor-intensive, and often lack the spatial resolution required for detailed analy…
  preprints 2024 置信度 0.74
• Enhanced Backpropagation Neural Network Approach for High Precision Fertilization Method in Greenhouse Vegetable Cultivation
  Abstract The traditional method of detecting crop nutrients is based on the direct chemical detection method in the laboratory, which causes great damage to crops. In order to solve the above problems, an precision fertilization method for greenhouse vegetable…
  preprints 2024 置信度 0.74
• Identification of Plant Diseases in Jordan Using Convolutional Neural Networks
  Abstract In the realm of global food security, plants serve as the primary source of sustenance. However, plant diseases pose a significant threat to this security. The process of diagnosing these diseases forms the bedrock of disease control efforts. The prec…
  preprints 2024 置信度 0.74
• Multi-Features and Multi-Deep Learning Networks to identify, prevent and control pests in tremendous farm fields combining IoT and pests sound analysis
  Abstract The agriculture sectors, which account for approximately 50% of the worldwide economic production, are the fundamental cornerstone of each nation. The significance of precision agriculture cannot be understated in assessing crop conditions and identif…
  preprints 2024 置信度 0.74
• Plant height defined growth curves during vegetative development have the potential to predict end of season maize yield and assist with mid-season management decisions
  Precision farming has been developing with the intention of identifying within field variability to adjust management strategies and maximize end of season yield and profitability and minimize negative environmental impacts. The development of quick, easy, and…
  preprints 2024 置信度 0.74
• Estimation Network for Multiple Chemical Parameters of Astragalus Leaves Based on Attention Mechanism and Multivariate Hyperspectral Features
  In the context of smart agriculture, accurately estimating plant leaf chemical parameters is crucial for optimizing crop management and improving agricultural yield. Hyperspectral imaging, with its ability to capture detailed spectral information across variou…
  preprints 2024 置信度 0.74
• Optimizing sustainability in rice-based cropping systems: a holistic approach for integrating soil carbon farming, energy efficiency, and greenhouse gas reduction strategies via resource conservation practices.
  Abstract In the context of regenerative agriculture (RA) and sustainability in lowland rice agroecosystems, inefficient resource use leads to reduced agricultural output and significant greenhouse gas emissions (GHG), particularly methane from flooded paddy fi…
  preprints 2024 置信度 0.74
• Predictive Modeling Study on the Critical Nitrogen Concentration and Nitrogen Accumulation in Cut Chrysanthemum Based on the Cumulative Photo-Thermal Effect
  Abstract Background and aims Critical nitrogen (N) concentration (N c ) and critical accumulation (N a ) are essential for N status diagnosis and precise N fertilization in crops. However, efficient prediction models for N c and N a in cut Chrysanthemum remain…
  preprints 2024 置信度 0.74
• Improved YOLOv8-seg Based on Multi-scale Feature Fusion and Deformable Convolution for Weed Precision Segmentation
  Laser-targeted weeding methods further enhance the sustainable development of green agriculture, with one key technology being the improvement of weed localization accuracy. Here, we propose an improved YOLOv8 instance segmentation based on bidirectional featu…
  preprints 2024 置信度 0.74
• Spectral Phenotyping Reveals Time-Specific QTLs in Field-Grown Lettuce
  Lettuce ( Lactuca sativa ) is an important field crop, but our understanding of its phenotypic variation and underlying genetics under natural field conditions remains limited, posing challenges for identifying effective crop breeding targets. Longitudinal hyp…
  preprints 2026 置信度 0.74
• NLR immune receptors can exhibit tissue-specific expression patterns across legume species
  ABSTRACT Pathogen pressure threatens legume crop productivity worldwide. Nucleotide-binding leucine-rich repeat (NLR) immune receptors serve as crucial plant resistance genes, recognizing pathogens and triggering immunity. However, the extent and patterns of N…
  preprints 2026 置信度 0.74
• Uav Hyperspectral Imagery Mining to Identify New Spectral Indices for Predicting Field-Scale Yield of Spring Maize
  Non-destructive, accurate, and timely approach for crop yield prediction at field scale is vital for precision agriculture. This study aimed to investigate the appropriate wavelengths and their combinations to explore the new SIs derived from UAV hyperspectral…
  preprints 2024 置信度 0.74
• Multi-Sensor Soil Probe and Machine Learning Modeling
  We present a data-driven, in situ proximal multi-sensor digital soil mapping approach to develop digital twins for multiple agricultural fields. A novel Digital Soil CoreTM (DSC) Probe was engineered that contains seven sensors, each of a distinct modality, in…
  preprints 2024 置信度 0.74
• Integrated GIS-Based MCDA and Machine Learning Techniques in Flood Susceptibility Mapping in Ala River Basin, Nigeria
  Abstract Flooding is a recognized form of natural disaster that can lead to loss of life, destruction of critical infrastructure with consequences impacting critical sectors including agriculture and health. This study aims to map out flood susceptible areas w…
  preprints 2024 置信度 0.74
• Evaluating kinship estimation methods for reduced-representation SNP data in non-model species
  Kinship estimation is widely used in ecological and evolutionary research, particularly in studies of human genealogy and genome-wide associations. In conservation, restoration, agriculture, and forestry, identifying relationships between individuals can be cr…
  preprints 2024 置信度 0.74
• Crop Growth Analysis Using Automatic Annotations and Transfer Learning in Multi-Date Aerial Images and Ortho-Mosaics
  Growth monitoring of crops is a crucial aspect of precision agriculture, essential for optimal yield prediction and resource allocation. Traditional crop growth monitoring methods are labor-intensive and prone to errors. This study introduces an automated segm…
  preprints 2024 置信度 0.74
• Estimation of Coffee Plantation Production Using Segmentation and Deep Learning Techniques
  Coffee is one of the most valuable agricultural products worldwide, and it is crucial to have efficient tools to obtain reliable information about production. This study aims to estimate coffee plantation production using segmentation and deep learning techniq…
  preprints 2024 置信度 0.74
• Analysis of Leaf cover on Raspberry Fruits Based on Hyperspectral Techniques Combined with Machine Learning Models
  Abstract The aim of this study is to explore the potential application of hyperspectral technology in detecting the problem of fruit cover in the orchard. Three types of hyperspectral data were collected using a hyperspectral instrument to cover raspberry frui…
  preprints 2024 置信度 0.74
• Satellite Remote Sensing Analysis Using Effective Feature Extraction & Classification Using Deep Learning Technique
  Abstract In recent years, deep learning (DL) algorithms have earned more attention and popularity in image processing, especially in satellite remote sensing analysis, as they can learn the hierarchical and discriminative feature representations within the dat…
  preprints 2024 置信度 0.74
• Identification of Diseases in Paddy Crops Using Cnn
  Abstract In ancient times, agriculture is one of the most predominant occupations of Indian civilizations and it has a great impact in contributing to our country’s economy. Unfortunately, due to several reasons like pests and unpredictable climatic conditions…
  preprints 2024 置信度 0.74
• High-Throughput Robotic Phenotyping for Quantifying Tomato Disease Severity Enabled by Synthetic Data and Domain-Adaptive Semantic Segmentation
  Plant diseases cause an annual global crop loss of 20-40%, leading to estimated economic losses of 30-50 billion dollars. Tomatoes are susceptible to more than 200 diseases. Breeding disease-resistant cultivars is more cost-effective and environmentally sustai…
  preprints 2024 置信度 0.74
• A microstrip Antenna for Underground Applications with Frequency Insenitivity to soil moisture variations
  Abstract In this article, we propose a novel design of a buried rectangular patch antenna utilizing the ferromag-netic properties to ensure the resonant frequency resistivity against uctuations in soil permittivity,notably due to variations in its water conten…
  preprints 2024 置信度 0.74
• Hybrid Illumina-Nanopore assembly improves identification of multilocus sequence types and antimicrobial resistance genes of Staphylococcus aureus isolated from Vermont dairy farms: comparison to Illumina-only and R9.4.1 nanopore-only assemblies
  Antimicrobial resistance (AMR) in Staphylococcus aureus is a pressing public health challenge with significant implications for the dairy industry, encompassing bovine mastitis concerns and potential zoonotic threats. To delve deeper into the resistance mechan…
  preprints 2024 置信度 0.74
• Technological Upgrade of a Vicon RS-EDW Spreader: Development of a Microcontroller for Variable Rate Application
  Over the last two decades, a considerable amount of equipment has been acquired (spreaders, seeders, sprayers, among others) to respond to the challenges of Precision Agriculture (PA) concept. Most of this equipment has been purchased at a high cost. However, …
  preprints 2024 置信度 0.74
• Unmanned Aerial System-Driven Data and Advanced Deep Learning Strategies for Elevating Weed Management in Agricuture
  Abstract In the United States, Palmer amaranth is a troublesome weed that competes with major crops, such as, soybean, and may lead to significant crop yield reduction if not managed properly. Integrated weed management practices using eco-friendly artificial …
  preprints 2024 置信度 0.74
• LeafGenEx-A Novel Method for Generating Healthy and Diseased Wheat Leaf Images using CycleGAN
  Abstract LeafGenEx, an innovative approach to wheat leaf disease detection, uses data augmentation, deep learning, and explainable AI to improve disease detection accuracy. The procedure starts with preprocessing methods, such as image flipping, rotation, and …
  preprints 2024 置信度 0.74
• Uav for Crop Monitoring System Using Computer Vision
  Abstract This study focuses on the vital task of detecting Banana Black Sigatoka in banana plants using a cutting-edge method that combines deep learning algorithms with Unmanned Aerial Vehicles (UAVs). The research includes building a detailed dataset that fe…
  preprints 2024 置信度 0.74
• Antibiotic Use Across One Health Sectors in Uganda: Temporal Alignment Between Antibiotic Introduction and Policy Guidance: A Scoping Review and Meta-Analysis
  Abstract Background Antimicrobial resistance (AMR) remains a major global health threat, driven by antibiotic use across human, animal, and environmental sectors. In Uganda, despite a National Action Plan and sector‑specific policies, inappropriate antibiotic …
  preprints 2026 置信度 0.74
• Adaptive food price forecasts enhance public information during rapid economic changes
  Abstract The advent of COVID-19 ended an era of stable US retail food prices that followed the world food price crisis of 2010-2012. Pandemic-related disruptions, avian influenza outbreaks, and the Russia-Ukraine war drove 2022 food-at-home inflation to its hi…
  preprints 2024 置信度 0.74
• AgroAdvisor: Crop Yield Prediction, Crop and Fertilizer Recommendation System using Random Forest with Gradient Boosting and DeepFM for Precise Agriculture
  Abstract Crop yield prediction plays a very important role in productivity growth. Prediction of the crop yield in particular area helps the farmer to choose the right crop to be grown in the land. With crop yield prediction crop recommendation boosts up the p…
  preprints 2024 置信度 0.74
• Advancing AI Integration in Sabah Business Landscape: Opportunities and Challenges
  The integration of artificial intelligence (AI) technologies into business practices presents both opportunities and challenges for Sabah, Malaysia. This dynamic abstract explores the latest research problem at the intersection of AI and business in Sabah, foc…
  preprints 2024 置信度 0.74
• Optimization of the HEC-RAS Based Flood Inundation Mapping using Adaptive Neuro- Fuzzy Inference System: A case study of Olkeriai River Basin, Kenya
  Abstract Effective flood modelling is essential in flood disasters’ impact reduction and sustainable land use planning, particularly in vulnerable areas such as the Olkeriai River Basin in Kenya. This study provides an innovative hybrid model of Adaptive Neuro…
  preprints 2025 置信度 0.74
• Early Prediction of Kimchi Cabbage Height using Drone Imagery and Long Short-Term Memory (LSTM) Model
  This study introduces a novel method for early prediction of Kimchi cabbage (Brassica rapa subsp. pekinensis (Lour.) Hanelt) height, utilizing drone imagery and a long short-term memory (LSTM) model. The research was conducted on a testbed at the National Inst…
  preprints 2024 置信度 0.74
• Controlled Fluid Flow Without Controlling Pump Using Arduino
  Abstract This paper presents the development of a cost-effective fluid flow control system using an Arduino microcontroller. The system maintains a desired fluid level within a tank while continuously monitoring the fluid temperature. The hardware and software…
  preprints 2024 置信度 0.74
• Using Realistic Images for Plant Classification and Effect on Classification Difficulty
  Abstract We proposed a hybrid computer-vision framework that distinguishes different plant species (such as radish and weeds) that combines machine learning methods (such as Support Vector Machine (SVM) and Random Forest (RF) classifiers) with application-spec…
  preprints 2024 置信度 0.74
• Development of a Decision Support System for Animal Health Management Using Geo-Information Technology: A Novel Approach to Precision Livestock Management
  Livestock management is challenging for resource-poor (R-P) farmers due to unavailability of quality feed, limited professional advice and rumor-spreading about animal health condition in a herd. This research seeks to improve animal health in southern Africa …
  preprints 2024 置信度 0.74
• Development of an Advanced Analytical Technique for Detecting Multiple Pesticide Residues in Vegetables Through Liquid Chromatography Tandem Mass Spectroscopy (LC-MS/MS)
  Abstract A comprehensive LC-MS/MS method, which employs Positive Electrospray Ionization (PEI) and Multiple Reaction Monitoring (MRM) was developed for simultaneous determination of 35 pesticides belonging to various chemical classes in tomato, brinjal, chilli…
  preprints 2024 置信度 0.74
• An Integrated Route and Path Planning Strategy for Skid-Steer Mobile Robots in Assisted Harvesting Tasks with Terrain Traversability Constraints
  This article presents a combined route and path planning strategy to guide Skid-Steer Mobile Robots (SSMRs) in scheduled harvest tasks within expansive crop rows with complex terrain conditions. The proposed strategy integrates: i) a global planning algorithm …
  preprints 2024 置信度 0.74
• Development of a UAV-Based Multi-Sensor Deep Learning Model for Predicting Napa Cabbage Fresh Weight and Determining Optimal Harvest Time
  Accurate and timely prediction of Napa cabbage (Brissica rapa subsp. Perkinensis) fresh weight is crucial for optimizing harvest timing, crop management, and supply chain logistics, contributing to food security and price stabilization. Traditional manual samp…
  preprints 2024 置信度 0.74
• Design and testing of a microwave Doppler-based yield estimation system for machine-picked seed cotton
  Abstract Accurately obtaining crop yields is an important part of the precision agriculture technology system; with the increased mechanisation of cotton planting and harvesting, it has become particularly important to accurately obtain seed cotton yield data.…
  preprints 2024 置信度 0.74
• Optimized routing algorithm with AlexNet-ShuffleNet for plant leaf disease and infectious classification in IoT 
  Abstract In agriculture, utilizing images to detect plant leaf diseases is a vital area in precision farming. Typically, trained professionals physically inspect plant tissues to identify disease range. Nowadays, AI has made foremost paces in detecting and cla…
  preprints 2024 置信度 0.74
• A likelihood ratio test for detecting shifts in homeolog expression ratios in allopolyploids
  Allopolyploids arise through hybridization between related species, carrying multiple sets of chromosomes from distinct progenitor, referred to as subgenomes. Within allopolyploids, duplicated genes across subgenomes, called homeologs, are thought to enhance e…
  preprints 2025 置信度 0.74
• Identification of Araucaria angustifolia trees in an urban forest fragment using UAV images and YOLOv7 structure
  Abstract This study addresses the identification of individuals of the Araucaria angustifolia species in urban forest fragments, specifically in the Mixed Ombrophilous Forest (FOM) in Curitiba, Paraná, Brazil. The aim of the study is to use UAV images and the …
  preprints 2024 置信度 0.74
• Intelligent Irrigation System Based on Humidity and Temperature Predictions for Cocoa Crops in Piedecuesta Santander
  Abstract Insufficient water, below 70%, limits cocoa growth, reduces production and affects quality due to water stress. On the other hand, excess moisture, above 85%, obstructs air channels in the soil and causes root rot, reducing nutrient absorption and cro…
  preprints 2024 置信度 0.74
• Collective Evidence on Behavioral Interventions Targeting Carbon Pricing Support: A Many-Designs Approach with 55 Studies
  Abstract There is an urgent need to reduce carbon emissions globally to limit the damages caused by climate change. Most economists agree that a carbon price is an effective and cost-efficient policy to mitigate emissions, yet low public acceptance and limited…
  preprints 2026 置信度 0.74
• Dynamic Slicing and Reconstruction Algorithm for Precise Canopy Volume Estimation in 3D Citrus Tree Point Clouds
  Crop phenotyping data collection is the basis for precision agriculture and smart decisionmaking applications. In this study, a dynamic slicing and reconstruction canopy volume (DR) algorithm is proposed to accurately estimate citrus canopy volume. The algorit…
  preprints 2024 置信度 0.74
• A Comparative Investigation of Disease Detection in Plant Pathology: A Study on the YOLOv3 and Gaussian YOLOv3Models
  Abstract Leaf disease detection is a critical task in precision agriculture, aiming to monitor and control the spread of plant diseases for sustainable crop management. Object detection models have shown promise in accurately identifying and localizing disease…
  preprints 2024 置信度 0.74
• Transforming Philippine Agriculture Through Data-driven Innovation: A Quantitative Landscape Assessment to Prioritize Technological Solutions
  Abstract This systematic review analyzed agricultural innovations in the Philippines over 2018–2023 to provide comprehensive categorization, adoption trend analysis, and recommendations for optimizing research priorities. Methodical literature search, screenin…
  preprints 2024 置信度 0.74
• A Review and Meta-analysis of Semantic Segmentation Models in Land Use/ Land Cover Mapping
  Recent advancements in deep learning have spurred the development of numerous novel semantic segmentation models for land cover mapping, showcasing exceptional performance in delineating precise boundaries and producing highly accurate land cover maps. However…
  preprints 2024 置信度 0.74
• Plant Disease Detection Using Deep-Learning
  Abstract Increasing demands for food security and sustainable agriculture have spurred the development of innovative technologies in the agricultural sector. This initiative aims to tackle the pressing concern of plant diseases through the implementation of cu…
  preprints 2024 置信度 0.74
• Artificial Intelligence: A Promising Tool for Application in Phytopathology
  Artificial intelligence (AI) is revolutionizing approaches in plant disease management and phy-topathological research. This review analyzes current applications and future directions of AI in addressing evolving agricultural challenges. Plant diseases annuall…
  preprints 2024 置信度 0.74
• Enhancing Object Segmentation Model with GAN-based Augmentation using Oil Palm as a Reference
  Abstract In digital agriculture, a central challenge in automating drone applications in the plantation sector, including oil palm, is the development of a detection model that can adapt across diverse environments. This study addresses the feasibility of usin…
  preprints 2024 置信度 0.74
• Comparative Analysis of Plant Disease Detection Models on RISC-Based Systems: AMiniTensorflow Approach
  Abstract Purpose: This research aims to evaluate the performance of four distinct deep learning models, namely EfficientNet B3, GoogLeNet, DenseNet, and VGG16, in the context of plant disease classification. The primary purpose is to investigate their accuracy…
  preprints 2024 置信度 0.74
• Deep-Learning Methods for Efficient Real-Time Droplet Tracking in Crop-Spraying Systems
  Abstract Spray systems in agriculture serve essential roles in the precision application of pesticides, fertilizers, and water, contributing to effective pest control, nutrient management, and irrigation. These systems enhance efficiency, reduce labor, and pro…
  preprints 2024 置信度 0.74
• A small neural network deployed on edge devices for detecting citrus Huanglongbing.
  Abstract Citrus Huanglongbing (HLB) poses a significant threat to the profitability of the citrus industry worldwide. In traditional agricultural practices, manually identifying citrus trees infected with HLB based on certain leaf characteristics is time-consu…
  preprints 2024 置信度 0.74
• Monitoring of Soil Salinity for Precision Management using Electromagnetic Induction Method
  In this study, the temporal variation in soil salinity dynamics was monitored and analyzed using Electromagnetic Induction (EMI) in an agricultural area in Port Said, Egypt, which is at risk of soil salinization. To assess soil salinity, repeated CMD2 soil app…
  preprints 2024 置信度 0.74
• Assessment of maize yield and phenology by drone-mounted superspectral camera
  The capability of unmanned aerial vehicle (UAV) spectral imagery to assess maize yield under full and deficit irrigation is demonstrated by a Tetracam MiniMCA12 11 bands camera. The MiniMCA12 was used to image an experimental field of 19 maize hybrids. Yield p…
  crossref Ittai Herrmann, Eyal Bdolach, Yogev Montekyo, Shimon Rachmilevitch 等 2019-04-04T07:23:10Z 置信度 0.70
• Validating Ultra-Wideband Positioning System for Precision Cow Tracking in a Commercial Free-Stall Barn
  UWB positioning systems offer innovative solutions for precision monitoring dairy cow behaviour and social dynamics, yet their performance in complex commercial barn environments requires thorough validation. This study evaluated the TrackLab 2.13 (Noldus) UWB…
  crossref Ágnes Moravcsíková, Zuzana Vyskočilová, Pavel Šustr, Jitka Bartošová 2024-11-18T13:03:14Z 置信度 0.70
• Integrating pharmacy practice into precision emergency medicine: A pathway to enhanced patient care
  Precision emergency medicine (EM) represents a transformative approach to healthcare, integrating advanced technologies and human-centric data to tailor treatments to individual patient needs. This commentary explores the integration of pharmacy practice into …
  crossref Shusen Sun 2024-11-09T01:15:37Z 置信度 0.70
• Bringing precision medicine to patients with telehealth
  crossref Ana Maria Lopez 2023-09-22T21:32:45Z 置信度 0.70
• Precision of Soil Moisture in Agriculture Land Using Wireless Sensor Networks
  crossref Dr.K. Karuppasamy, T.N. Prabhu, B. Mohankumar 2019-11-06T04:31:36Z 置信度 0.70
• Technical solutions for variable rate fertilisation
  The aim of variable rate fertilisation is to fulfil local requirements in the field in order to optimise the production for quantity or quality reasons. The choice of spreading technique and working width influences the possibilities of performing variable rat…
  crossref K. Persson, H. Skovsgaard, C. Weltzien 2024-03-29T00:01:30Z 置信度 0.70
• Precision Manure Application Requirements
  Precision manure application using geographic information system (GIS) and GPS can reduce energy requirements by allowing producers to avoid overlappping or missing applications areas. Other advantages for precision manure application includes avoiding applica…
  crossref 2011-03-28T23:32:26Z 置信度 0.70
• Crop Yield Prediction in Precision Agriculture
  Predicting crop yields is one of the most challenging tasks in agriculture. It plays an essential role in decision making at global, regional, and field levels. Soil, meteorological, environmental, and crop parameters are used to predict crop yield. A wide var…
  crossref Anikó Nyéki, Miklós Neményi 2022-10-10T21:07:11Z 置信度 0.70
• Precision Agricultural Aviation Application Technology
  crossref Yubin Lan 2025-05-31T10:15:10Z 置信度 0.70
• Computer vision technology for weed detection
  crossref Jun Ni, Ke Xu 2024-11-22T05:26:32Z 置信度 0.70
• A Thermally Actuated Microvalve for Irrigation in Precision Agriculture Applications
  crossref Debjyoti Banerjee, Alaba Bamido, Ashok Thyagarajan, Nandan Shettigar 2021-08-03T17:56:47Z 置信度 0.70
• Precision Farming
  This chapter includes how artificial Intelligence plays role to perform precision farming/agriculture in various way along with its scope, limitation and challenges. Precision agriculture or precision farming means the right thing to do, in the right way, on t…
  crossref Rajesh Singh, Anita Gehlot, Mahesh Kumar Prajapat, Bhupendra Singh 2021-09-28T13:28:28Z 置信度 0.70
• Enhancing Soil Health and Crop Productivity Through Spatial Variability Analysis in Precision Agriculture
  crossref Fatemeh Moemeni, Aliashraf Amirinejad 2025-02-05T19:36:28Z 置信度 0.70
• Image Processing for Smart Agriculture and Precision Farming
  Precision farming and smart agriculture are revolutionizing traditional farming practices by incorporating modern technologies like image processing, machine learning, and remote sensing. This paper explores how image processing techniques can be applied to mo…
  crossref Sumana Chakraborty 2026-03-06T12:48:44Z 置信度 0.70
• A Mudskipper-Inspired Soft Robot for Precision Agriculture in Egypt's Northern Nile Delta
  Agriculture in Egypt’s Nile Delta is increasingly threatened by environmental stressors such as soil salinization, waterlogging, and pH imbalances, which significantly reduce crop productivity and impact food security (Elshaer et al., 2021; Hassan Mohamed, 202…
  crossref Mostafa Mohamed Mostafa Kamel 2025-11-21T01:34:00Z 置信度 0.70
• Energy-efficient high-precision electric seed metering system: achieving high-speed, high-precision seeding with low energy consumption
  crossref Haoyu Wang, Xiaoshuang Zhang, Li Yang, Dongxing Zhang 等 2026-07-27T10:54:16Z 置信度 0.70
• AI in Precision Oncology
  crossref Andrew Spanyi 2024-11-20T00:06:06Z 置信度 0.70
• Comprehensive Study and Research on Wireless Sensor Network and Internet of Things for Precision Agriculture
  crossref Anulekshmi S. 2020-05-06T14:46:06Z 置信度 0.70
• Artificial Intelligence and Deep Learning for Precision Agriculture: Smart system for Sustainable Farming
  The world is in full competition both to supply the food and to counteract the climate crisis. The radical shift that Agriculture should undertake is Precision Agricultural Systems (PAS), and there could hardly be a suitable combination than Deep Learning (DL)…
  crossref A. Francis Thivya 2025-11-24T17:26:18Z 置信度 0.70
• Pioneering Precision Agriculture
  .
  crossref Ajit B. Jain 2025-04-11T07:47:37Z 置信度 0.70
• Applying machine learning on sensor data for irrigation recommendations: revealing the agronomist’s tacit knowledge
  Jojoba Israel is a world-leading producer of Jojoba products, whose orchards are covered with sensors that collect soil moisture data for monitoring plant needs at real-time. Based on these data, the company’s agronomist defines a weekly irrigation plan. In ad…
  crossref Anat Goldstein, Lior Fink, Amit Meitin, Shiran Bohadana 等 2017-05-31T12:21:29Z 置信度 0.70
• Theoretical basis for sensor-based in-season nitrogen management
  Managing nitrogen fertilization of corn and other crops during the vegetation stages is a growing practice implemented to increase the efficient use of nitrogen. Active crop canopy sensing has been employed to adjust nitrogen application rates in response to t…
  crossref V.I. Adamchuk 2023-11-08T02:34:31Z 置信度 0.70
• Precision agriculture: A challenge for crop nutrition management
  crossref P. C. Robert 2006-05-17T17:52:26Z 置信度 0.70
• Modeling Precision Agriculture Device for Palm Oil Industry
  The complexity of the palm oil industry, from planting, grO\vth, harvest to the mill processing, has contributed significantly to its meager productivity. Weather, terrain, manual labor, palm oil species, age, pest and soil are some of the variables that large…
  crossref 2014-08-18T18:54:03Z 置信度 0.70
• Site-Specific Measurement and Management of Grain Quality
  Grain quality is a general term for different variables determined by the final user. Those variables differ greatly, however. For example, the quality requirements of grain for feed differ significantly from those for grain as a food ingredient. In general, g…
  crossref 2020-07-09T23:59:25Z 置信度 0.70
• Precision Feeding of Pigs
  crossref Ludovic Brossard, Charlotte Gaillard 2023-01-05T12:04:20Z 置信度 0.70
• Apta-Nanobiosensors in Precision Agriculture: Methods and Applications
  crossref Rahul Gogoi, Fung Swrangshee Daimari, Hridesh Harsha Sarma, Abhisek Rath 等 2025-07-29T06:58:55Z 置信度 0.70
• Precision simulations of light and heavy jets
  This talk reviews the construction of a new parton-shower algorithm which is provably NLL precise in color singlet production or decay.
  crossref Stefan Hoeche 2024-10-03T02:12:21Z 置信度 0.70
• Bayesian optimal dynamic sampling procedures for on-farm field experimentation
  crossref John N. Ng’ombe, B. Wade Brorsen 2022-06-03T08:03:59Z 置信度 0.70