RECOGNITION OF LEAF ILLNESS DETECTION

RECOGNITION OF LEAF ILLNESS DETECTION

Nayan Naik M 1 , Roopa R 2
[1] Student, Department of MCA, BIET, Davangere.

[2] Assistant Professor, Department of MCA, BIET, Davangere.

ABSTRACT
Plant disease early detection has a major impact on crop quality and financial stability, making it essential for India's agriculture. The precision of current detection techniques is lacking, which puts yields at risk. In order to identify cotton leaf illnesses and classify leaves as healthy, unhealthy, or sick, this study suggests a prediction method. This focused strategy enables focused therapies and aids in the prevention of disease spread. The framework can also be modified to identify diseases that affect tomato plants with the goal of increasing agricultural yields, lowering costs, and promoting environmentally friendly farming methods.

Keyword: Leaf, Diseases, Support Vector Machine (SVM), Convolutional Neural Networks(CNN).