Rice crop monitoring system — A lot based machine vision approach

In India farmers lose 37% of average estimated rice crop because of bacterial blight disease “Xanthomonasoryzaepv(XOO)” every year. To reduce the spread of infection and to increase the production of the crop the paper “Rice crop monitoring system-An IoT machine vision approach” is beneficial. It detects the infected part of the crop and takes immediate remedy by spraying the pesticide automatically on the infected area of the specific microbial affected plant by tracking the exact location and taking the periodic images of the crop for large area. This system reduces the wastage of pesticides to the entire farm and also reduces the human effort.