ABSTRACT
Farming is the art and science of flourishing the plant and other crops for rising economic genetic algorithm. However, the diseases which influence the crops have made the impact of agriculture production. This disease commonly gets infected by pathogens such as bacteria, fungus and virus. In order to address the above issue, a novel recommendation system for earlier detection of crop diseases. The crop disease data is gathered from disparate resources including social web pages and evaluated through the Hadoop system. In this work, we came up with a framework which gives a better investigation of various crop diseases with help of classification algorithms like genetic algorithm which bring about solutions to the development problem. In this work, we utilized genetic algorithm is implement for finding out the optimal solution and practice by solving problems in disease detection. The conclusion of the proposed work is providing a better recommendation solution to avert the disease in the initial stages and yield the better agricultural production.
