Survey Paper on Plant Disease Identification Using Machine Learning

 Abstract - Farming is a significant aspect of a farmer's life. Sometimes manual illness identification requires more labor takes a lot of time. The most significant factor that inhibits plant growth is disease attack. 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. Therefore, it is possible to identify the impacted leaf photos using machine learning techniques. Different 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 review article discusses how to identify plant diseases using machine.  

Keywords: SVM, PNN, ANN, GA, and image processing methods such as feature extraction