Detection of Plant Diseases by Various Artificial Intelligence Techniques

India's economy depends heavily on agricultural productivity, which produces cash crops and food that are essential to both the environment and human welfare. The output and value of agricultural goods are significantly impacted by plant diseases. With advantages in monitoring large crop fields and identifying disease signals on leaves, the field of automatic plant disease detection is growing in popularity. Many plants die because of poor disease diagnosis and ignorance of symptoms and treatments. Deep learning is used to detect plant diseases, while a convolutional neural network is used to classify pictures of leaves. This article summarizes GANS structure using deep learning advancements for identifying leaf diseases. And used ACB module to display heat maps to spot illness highresolution photos then SVM to classify the diseased leaves.