Plant Disease Detection using Image Processing and Neural Network Approach

Farmers' lives are significantly influenced by agriculture. Often manual illness identification requires more labour and takes a lot of time. among the most important facts include disease assault, which inhibits plant growth. Research on agriculture as a whole demonstrates that a variety of plant diseases may result in a decrease in the quality and quantity of agricultural goods. When compared to a manual method, a machine learning approach makes it easier to identify certain disorders. So, it is possible to identify the impacted leaf photos using machine learning techniques. Several image processing techniques will be used to process the images that the camera captures. These methods will aid in the detection of plant diseases, enhancing plant productivity. This survey paper explains how to identify plant diseases using a machine learning approach and goes into great detail regarding the various methods for disease classification and identification