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GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing.

, , , , , , and . Comput. Electron. Agric., (2022)

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Influence of Image Quality and Light Consistency on the Performance of Convolutional Neural Networks for Weed Mapping., , , and . Remote. Sens., 13 (11): 2140 (2021)Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on UAV Remote-Sensing Imagery., , , , , , , , , and 2 other author(s). CoRR, (2022)GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing., , , , , , and . Comput. Electron. Agric., (2022)Field test and evaluation of an innovative vision-guided robotic cotton harvester., , , and . Comput. Electron. Agric., (2024)Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages., , , , , , , , , and 2 other author(s). CoRR, (2022)Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications., , , , , , , , , and 2 other author(s). CoRR, (2022)AI-Driven Computer Vision Detection of Cotton in Corn Fields Using UAS Remote Sensing Data and Spot-Spray Application., , , , , , , , and . Remote. Sens., 16 (15): 2754 (August 2024)