original ) (raw )A Comparative Estimation of Maize Leaf Water Content Using Machine Learning Techniques and Unmanned Aerial Vehicle (UAV)-Based Proximal and Remotely Sensed Data
Onisimo Mutanga
Remote Sensing
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Application of a low-cost camera on a UAV to estimate maize nitrogen-related variables
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Precision Agriculture, 2018
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Oil Palm Yield Prediction Using Low-Cost Unmanned Aerial Vehicle Platform
Dr Othman Zainon
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Estimation of Potato Water Footprint Using Machine Learning Algorithm Models in Arid Regions
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Integration of UAV data with soil water balance models for evaluation/monitoring of maize water stress
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A compilation of UAV applications for precision agriculture
Thomas Lagkas
Computer Networks, 2020
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Prediction of Crop Yield Using Machine Learning
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International Journal of Engineering Applied Sciences and Technology, 2020
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UAV-multispectral and vegetation indices in soybean grain yield prediction based on in situ observation
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Remote Sensing Applications: Society and Environment, 2020
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Multi-Stage Corn Yield Prediction Using High-Resolution UAV Multispectral Data and Machine Learning Models
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Fundamental Research on Unmanned Aerial Vehicles to Support Precision Agriculture in Oil Palm Plantations
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Agricultural Robots - Fundamentals and Applications, 2019
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Machine Learning approaches in Vegetable Crops
ANJALI K U M A R I JHA
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UAV-Based Estimation of Grain Yield for Plant Breeding: Applied Strategies for Optimizing the Use of Sensors, Vegetation Indices, Growth Stages, and Machine Learning Algorithms
Patrick Noack
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Use of Remote-Sensing Imagery to Estimate Corn Grain Yield
John Shanahan
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Towards Smart Irrigation: A Literature Review on the Use of Geospatial Technologies and Machine Learning in the Management of Water Resources in Arboriculture
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Predicting Dry Pea Maturity Using Machine Learning and Advanced Sensor Fusion with Unmanned Aerial Systems (UASs)
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Estimation of Maize Foliar Temperature and Stomatal Conductance as Indicators of Water Stress Based on Optical and Thermal Imagery Acquired Using an Unmanned Aerial Vehicle (UAV) Platform
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Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques
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UAVs challenge to assess water stress for sustainable agriculture
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Agricultural Water Management, 2015
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A Comprehensive Review of Emerging Technologies: Machine Learning and UAV in Crop Management
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IOP Publishing, 2022
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Predicting Equivalent Water Thickness in Wheat Using UAV Mounted Multispectral Sensor through Deep Learning Techniques
Adama TRAORE
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Smart Farming: Intelligent Management Approach for Crop Inspection and Evaluation Employing Unmanned Aerial Vehicles
Carlos Gómez Muñoz
Proceedings of the Fourteenth International Conference on Management Science and Engineering Management, 2020
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Evaluation of nitrogen status in a wheat crop using unmanned aerial vehicle images
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Chilean journal of agricultural research, 2021
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A New Procedure for Combining UAV-Based Imagery and Machine Learning in Precision Agriculture
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Aerial Monitoring of Rice Crop Variables using an UAV Robotic System
Julian Banguera Colorado
2019
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Machine Learning for Precision Agriculture Using Imagery from Unmanned Aerial Vehicles (UAVs): A Survey
Diaa Addeen Abuhani
Drones, 2023
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Estimation of soil moisture at different soil levels using machine learning techniques and unmanned aerial vehicle (UAV) multispectral imagery
Mac McKee
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, 2019
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Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence
Lucas Costa
Computers and Electronics in Agriculture, 2020
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Assessing Grapevine Biophysical Parameters From Unmanned Aerial Vehicles Hyperspectral Imagery
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Machine Learning for Precision Agriculture Using Imagery From Unmanned Aerial Vehicles (UAV): A Survey
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UAV Remote Sensing for High-Throughput Phenotyping and for Yield Prediction of Miscanthus by Machine Learning Techniques
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Above-Ground Biomass Estimation in Oats Using UAV Remote Sensing and Machine Learning
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