International Journal of Science, Engineering and TechnologyPlant Leaf Disease Predictor
Authors- R. Joel Martin, Professor Dr. V. Sumalatha
Abstract--The Plant Disease Prediction Using CNN and Python project addresses the critical challenge of identifying plant diseases early to mitigate crop losses and enhance agricultural productivity. Using a convolutional neural network (CNN), the model analyzes images of plant leaves to classify them as healthy or diseased with high accuracy. Implemented in Python with libraries like TensorFlow and Keras, the system leverages deep learning to extract features such as texture and color patterns. This solution provides a reliable, efficient, and user-friendly tool for farmers to detect diseases promptly, enabling timely interventions, reducing pesticide usage, and promoting sustainable.
DOI: /10.61463/ijset.vol.13.issue2.440
