Cotton Plant

Cotton plant research currently focuses on optimizing yield and pest management through advanced technologies. This involves developing automated phenotyping systems using robotics and LiDAR, high-accuracy object detection (e.g., cotton bolls, weeds, pests) with deep learning models like YOLOv5, and predictive modeling of yield using machine learning techniques such as Random Forests. These advancements aim to improve efficiency, reduce costs, and enhance sustainability in cotton production, contributing significantly to precision agriculture and crop management strategies.