Advanced Deep Learning Model for Multi-Disease Prediction in Potato Crops: A Precision Agriculture Approach

Potato farming is a crucial aspect of global agriculture, playing a pivotal role in ensuring food security and economic stability. However, the impact of diseases on potato plants poses a significant threat to both crop yield and quality. This study concentrates on the early identification and categorization of seven common potato diseases, including Early Blight, Late Blight, Blackleg, Potato Virus Y, Potato Cyst Nematode, along with two additional diseases. The proposed model employs deep learning techniques and consists of a complicated blend of three layers of convolutional learning, three maximally pooled layers, and two layers that are completely interconnected. The study consists of four phases. dataset preparation, model architecture creation, testing and evaluation, and comparison analysis. The goal is to improve our awareness of potato illnesses and help establish effective disease control techniques.