• Dr. Santosh Kumar Singh

Disease identification in crops is one of important job that every farmer practice and takes required action for eliminating them since they are damaging to not only crops but also to farmers, customers, and environment too. Quality or safety of agricultural goods is one of key issues in today’s situation. In previous times farmers contacts specialists or use their own expertise for detection of illnesses in their crops but now days intelligent methods are progressively replacing the monitoring of crops since they are more reliable, accurate, quick and cheap in comparison to earlier ways. This article covers several methods based on machine learning or image processing that were provided by researchers all over the globe for detection of illnesses in crops, subsequent comments are given that may be useful for advancements in this area. This study would assist other academics and practitioners to review different methods utilized for the process of disease detection in plants and limitations of existing systems.

Artificial Intelligence, Classification, Disease Detection, Image Processing, Image Capture.

"Artificial Intelligence Techniques for Plant Disease Detection: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.117-121, June-2019, Available :http://www.jetir.org/papers/JETIRFT06024.pdf

"Artificial Intelligence Techniques for Plant Disease Detection: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp117-121, June-2019, Available at : http://www.jetir.org/papers/JETIRFT06024.pdf