  One of the important and tedious task in agricultural practices is the
detection of the disease on crops. It requires huge time as well as skilled
labor. This paper proposes a smart and efficient technique for detection of
crop disease which uses computer vision and machine learning techniques. The
proposed system is able to detect 20 different diseases of 5 common plants with
93% accuracy.
