• NEELIMA DEVI B
• D L MYTHRI

For the acknowledgment and aversion of disease of plants from getting spread, this paper discussed a system using raspberry PI. For the image examination, the k-suggests gathering count was used. It has various positive conditions for the use in colossal farms of yields and thusly it subsequently perceives signs of affliction at whatever point they appear on leaves of the plant. In pharmaceutical research of leaf ailment ID is basic and essential subject for research since it has points of interest in observing harvests in field at the casing and as such it subsequently recognize appearances of disease by picture taking care of by k-infers grouping computation. The term disease suggests the kind of mischief to the plants. This paper gives the best method to area of plant contaminations using picture getting ready and forewarning about the disease caused by sending email, SMS moreover, demonstrating the name of the disease on the screen show of the proprietor of the system. To refresh provincial things, customized area of contamination indications is profitable. The arrangement and utilization of these developments which is completely customized and it will essentially help in the invention application. It will reduce the cost required for the pesticides and diverse products. This will incite increment in effectiveness of the developing.

Image Processing, Raspberry Pi, IoT, CNN Algorithm, Python

"IoT BASED PLANT DISEASE IDENTIFICATION USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.48-53, December-2018, Available :http://www.jetir.org/papers/JETIR1812B08.pdf

"IoT BASED PLANT DISEASE IDENTIFICATION USING RASPBERRY PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp48-53, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B08.pdf