• NAVEEN KUMAR B.J.
• SREE RAJENDRA

India is a land of agriculture and mainly known for growing variety of crops. Majority of the population in India depend on agriculture. Even though India is agricultural country, the farmer experiences a lot of challenges and huge losses in every year due to pest infestation in crop and this in turn affect his way of life. These losses are basically due to discontinuous monitoring of farm, various diseases on crop, limited knowledge on pesticides used for plant diseases and improper management of pesticides. Plant disease reduces quality of product as well as its quantity. The spots on the leaves are the main indicator of the plant disease. So fast detection of plant disease is of more vital. In order to overcome above problem, in this work a robot has been build, which detects the leaf condition using image processing and deep learning technique, and automatically sprays the required pesticides for the unhealthy leafs based on the data set to achieve good yield in crops. The Robot has been build using an Arduino microcontroller with ATmega 328p processor, which is integrated with deep learning model. The image processing is trained with Convolutional Neural Network using an algorithm Alexnet. The robot movement is controlled by joystick. The build robot can be used to dispensing the pesticides for nursery and small plants and also robot has been successfully tested for corn and tomato crops.

Deep learning, Convolutional Neural Network, Robot, microcontroller, Image processing, Arduino

"LEAF DISEASE DETECTION USING DEEP LEARNING AND AUTOMATIC PESTICIDE DISPENSING USING SIX WHEEL ROBOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.99-103, June-2019, Available :http://www.jetir.org/papers/JETIR1906451.pdf

"LEAF DISEASE DETECTION USING DEEP LEARNING AND AUTOMATIC PESTICIDE DISPENSING USING SIX WHEEL ROBOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp99-103, June-2019, Available at : http://www.jetir.org/papers/JETIR1906451.pdf