Computer Vision in AgriTech
Computer Vision in AgriTech involves the use of advanced technology to analyze and interpret visual data in order to improve agricultural practices. This technology utilizes machine learning algorithms and image processing techniques to identify, classify, and track objects such as crops, pests, and diseases in the agricultural field. By harnessing the power of computer vision, farmers and researchers can make more informed decisions, optimize resource allocation, and ultimately increase crop yield and quality.