• Mr.M.Siva Krishna
• Sd.Fiza sulthana
• V.Sireesha
• Y.Lakshmi prasanna
• V.Sucharitha

Identification of disease is extremely difficult in agriculture field. If identification is inaccurate then there is an enormous loss on the production of crop and economical value of market. This project is used for detection of various plant diseases and when the disease is identified an SMS alert is sent to farmer and a pesticide spraying is done automatically using NodeMCU. This approach can be useful in the field of agriculture for accurate detection of diseases and to take the respective measures.The proposed Approach Consists of leaf image database collection, pre-processing of those images and segmentation followed by k-means clustering, feature extraction and classification using SVM algorithm. After detection of disease, the information is passed to NodeMCU and finally the message is sent to farmer by means of a cloud (Ubidots).

k-means clustering, SVM algorithm, NodeMCU, Ubidots.

"PLANT DISEASE DETECTION AND PESTICIDE SPRAYING USING DIP AND IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.54-58, April-2019, Available :http://www.jetir.org/papers/JETIRBC06009.pdf

"PLANT DISEASE DETECTION AND PESTICIDE SPRAYING USING DIP AND IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp54-58, April-2019, Available at : http://www.jetir.org/papers/JETIRBC06009.pdf