WEB BASED SOLUTION TO IDENTIFY AND SOLVE DISEASE IN PLANTS/CROPS

WEB BASED SOLUTION TO IDENTIFY AND SOLVE DISEASE IN PLANTS/CROPS

Rasheeq Zehra*1, Omkar Sharma*2, Vinayak*3

*1,2Student, Department of Computer Science & Engineering, BBDITM, Lucknow, UP, INDIA

*3Assistant professor, Department of Computer Science & Engineering, BBDITM, Lucknow, UP, INDIA

*1(zehrarasheeq@gmail.com)

*2(omkarsharma2821@gmail.com)

*3(vinayak@bbdnitm.ac.in)

ABSTRACT

Dedicated to the welfare of Indian farmers, this research unveils 'Green Doctor,' a groundbreaking web-based solution aimed at combating plant diseases in India's agricultural sector. Leveraging MobileNet Convolutional Neural Network (CNN), Green Doctor promises swift and precise disease identification in plants and crops. Through a robust methodology utilizing Indian plant disease datasets and a streamlined CNN architecture, this solution offers a beacon of hope for farmers. Results showcase the efficacy of rapid disease detection, facilitating timely intervention to mitigate crop losses and bolster agricultural productivity. Positioned as a free and user-friendly tool, Green Doctor embodies accessibility, speed, and contextual relevance, serving as a tribute to the Indian farming community. By reducing pesticide reliance, enhancing product quality, and bolstering farmer income, Green Doctor paves the path towards sustainable agriculture while enlightening stakeholders about plant diseases.

Keywords: Plant diseases, Web-based solution, MobileNet CNN, Disease detection, Agricultural productivity, Sustainable agriculture.