An Innovative Approach for Leaf-based Disease Detection in Crops and Soil Analyzer using Machine Learning for Smart Agriculture

Agriculture is a necessary supply of profits and the spine of the Indian economy. Plant production is seriously harmed by a variety of diseases, which, if precisely and appropriately recognized, have the potential to considerably improve health standards and economic growth. Traditional disease detection and categorization methods need a significant amount of time, heavy effort, and frequent farm monitoring. For modern agriculture, an automated image processing-based leaf disease diagnosis approach with soil monitoringtechnology is presented in this work. The proposed approach is ideal for farmers looking to increase their harvests. They can also gain extra from this reliable, non - adverse approach through detecting plant troubles early. The suggested system is made up of an Arduino controller and a GSM alert for disease detection, soil moisture and pH level.