Analysis of Automatic Plant Disease Classification Using Image Processing Techniques

Agriculture is vital to human survival because it provides food. The exponential growth of the human population needs rapid increases in food production using technology to reduce labour and enhance productivity. Precision agriculture is considered a promising technique for increasing output. There has been significant development in data and image processing, which was formerly a major issue in precision agriculture. Remote sensing collects photographs, processes them, and builds a model to find the optimal treatment options for specific crops and geographical zones. On apple, mango, strawberry, groundnut, citrus, tomato, etc. Each strategy has benefits and drawbacks. A reliable plant disease database is required to build the machine learning algorithm before identifying and validating plant diseases.