Losses, in any form, are inevitable, but they must be addressed, especially when they pose a threat to a nation's economy. Over the years, data and statistics have highlighted the severe impact that infectious and fatal plant diseases have had on farmers, leading to substantial crop production losses. Therefore, addressing this pressing issue is of paramount importance.

This paper presents an approach that employs advanced techniques for early detection of plant diseases to mitigate such losses. The proposed method involves capturing an image of a leaf, specifically from a potato plant, and analyzing it using deep learning technology. This analysis determines the plant's health status. If a disease is detected, the system enables farmers to take timely measures to safeguard and protect the remaining healthy crops. This proactive strategy can significantly reduce economic losses and support sustainable agriculture.