Crop Breeding

Crop breeding aims to improve agricultural productivity and sustainability by developing superior crop varieties. Current research emphasizes using machine learning, particularly deep learning models like U-Nets and Transformers, along with computer vision techniques, to optimize breeding programs, improve precision agriculture practices (e.g., weed detection and crop monitoring via satellite and drone imagery), and enhance yield prediction through multi-modal data fusion. These advancements offer significant potential for increasing crop yields, reducing resource use, and improving the efficiency and resilience of agricultural systems globally.