• Ms. Archana Deshpande
• Jatin K Rai
• Parth C Shah
• Rahul Sharma

An important aspect of moving towards agricultural sustainability is the management of crops during its growth stages which involves monitoring, classifying & identification of nutrient deficiency, crop diseases and controlled use of pesticides & fertilizers. Crop production rate reduces drastically due to the crop diseases. Also, the main challenge is to reduce and precisely utilize the pesticides and fertilizers in agriculture and engage more natural manuring for improved crop quality. Here, in this project a ground-based agricultural robot is being made which detects, classifies and predicts the crop diseases in its early stages and provides necessary measures of spraying the appropriate pesticides according to the classified disease types. To classify the crop disease, image captured by Arducam OV2640 robot will be processed and segmented using different image processing techniques. Here, to predict the infected region of crop field we have used Wireless Sensor Networks which monitors the soil temperature and moisture. Depending upon the data received from sensor node we will predict the particular region where the Agrobot needs to go and spray pesticide.

Agricultural robot, Pesticide sprayer, Wireless Sensor Network, Image Processing

"Implementation of Horticulture Crop Disease Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.571-575, June 2019, Available :http://www.jetir.org/papers/JETIR1906L82.pdf

"Implementation of Horticulture Crop Disease Detection System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp571-575, June 2019, Available at : http://www.jetir.org/papers/JETIR1906L82.pdf