A Survey on Deep learning Models for Disease Detection and Diagnosis in Agriculture Field

Abstract

This paper shows a brief thought of a percentage of the broadly utilized data mining systems over agri-business information sets. It is a contemporary system to discover the arrangement over the customary and traditional technique. It is a new concept as for data mining in the field of farming. Data mining is a procedure of separating/comparing the important information from the extensive database by utilizing diverse tools and methods. Different Data Mining techniques are in use, such as K-Means, K-Nearest Neighbor(KNN), Artificial Neural Networks(ANN) and Support Vector Machines(SVM) for very recent applications of Data Mining techniques in agriculture field. Bi clustering is a technique that can also utilized in agriculture mining. Data mining in agriculture is an emerging research field. It is our opinion that efficient techniques can be developed and tailored for solving complex agricultural problems using data mining. At the end of this study we provide suggestions for future research directions in agriculture-related fields