Computer vision can aid in crop monitoring, plant disease detection, automatic weeding and yield estimation. It can analyze satellite imagery, drones, or ground-based cameras to optimize irrigation, fertilization, and pest control.
Crop & Yield Monitoring in Agriculture.
Generally, crop growth and yield prediction depend on subjective human judgment which is neither accurate nor timely. Computer vision helps in regular real-time monitoring of plant growth and the detection of changes in crops due to disease or malnutrition. Plus, technical advancements have improved the yield estimation process.
Automatic Weeding.
Automated solutions are much needed in agriculture because human labor is costly, time-consuming, and prone to error. Traditional methods include spraying, pesticides, and much more that often contaminate nearby areas, plants, and animals. Computer vision promotes intelligent detection and removal of weeds using robots that cut down costs and ensure higher yield. Moreover, insect detection, livestock health monitoring, plant disease detection, drone surveys, and imaging are some more perks of computer vision in agriculture.
