• Komala T
• Halaswamy B M

Economy of a country highly depends on Agriculture and productivity. Plants getting infected with diseases are quite natural but this may lead to huge loss in agriculture production if proper care is not taken to find the appropriate disease and apply specific pesticides in time. Therefore it is very much necessary to have some automated methods to detect plant leaf diseases which would save manual effort and time. Due to advancements in image processing and machine learning techniques lots of people proposed a number of automated methods to detect and classify plant leaf diseases with different accuracy levels. In this paper we are reviewing a set of recent methods proposed in this area. Hence with this we are able to conclude the performances and what future improvements can be applied to build efficient systems in future.

"A REVIEW ON RECENT METHODS TO DETECT PLANT LEAF DISEASE USING IMAGE PROCESSING AND MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 11, page no.6-10, November-2017, Available :http://www.jetir.org/papers/JETIR1711227.pdf

"A REVIEW ON RECENT METHODS TO DETECT PLANT LEAF DISEASE USING IMAGE PROCESSING AND MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 11, page no. pp6-10, November-2017, Available at : http://www.jetir.org/papers/JETIR1711227.pdf