IJAIEM

S Keerthana, Gogikar Rahul , Chinthapelli Sanjay , M Sandhya Rani

Abstract

In India, agriculture plays a crucial role in ensuring food security and employment for its large population. The agricultural sector contributes significantly to the country's economy. Potato cultivation is prominent in India, with potato being a staple food, rich in essential nutrients, and having various indigenous and improved varieties. However, potato crops face challenges from fungal diseases like Early Blight and Late Blight, which can cause substantial economic losses. Currently, manual observation is the prevalent method for disease detection, but it has limitations. It is often impractical due to time constraints and limited expertise, leading to potential errors and inadequate treatment. This approach can result in crop failure due to delayed or incorrect interventions. Automatic plant leaf disease detection system utilizing technologies like Machine Learning, Deep Learning, an Computer Vision are being developed to promote timely and accurate detection. Among the va