Abstract:

: The Smart farming system using necessary infrastructure is an innovative technology that helps to improve the quality and quantity of agricultural production in the country. paddy leaf disease has long been one of the major threats to field security because it dramatically reduces crop yield and compromises its quality. Accurate and precise diagnosis of diseases has been a significant challenge and recent advances in computer vision made possible by deep learning have proved the way for camera-assisted disease diagnosis for paddy leaf. It described the innovative solution that provides efficient disease detection and deep learning with Convolutional Neural Networks (CNN) that has achieved great success in the classification of various paddy leaf diseases. A variety of neuron-wise and layer-wise visualization methods were applied using a CNN, trained with a publicly available paddy leaf disease given image dataset. So, it was observed that neural networks can capture the colors and textures of lesions specific to respective diseases upon diagnosis, which resembles human decision-making. Keywords: Deep Learning, TensorFlow, CNN