Detection of Plant Diseases Based On Convolutional Neural Network Approach: a Review

Farming productivity is something that the economy counts on heavily. This is one of the, why the disclosure of diseases in plants plays a serious role in agriculture such having a disease in plants, is completely normal. Attention should be paid to this issue and its direct impact on plants and as a result, the quality and quantity of the product or Productivity are affected Plant diseases are an outstanding challenge for farmers, the importance of the topic is reflected in the impact on food security. Modern systems and computer vision have created an opportunity to classify images in Farming. Convolutional Neural Networks (CNN) is one of the latest technologies for image recognition and provides capability to provide quick and specific diagnoses. This paper demonstrates the importance of CNNs in classifying plant diseases and how they work, providing a path toward solutions for artificial disease, and assisting researchers and countries whose economies are based on agriculture.