Department | Information Technology |
Year | 2020-21 |
Budget | 3000 |
Students | Hatim Nalawala, Dhruv Ajaybhai Chauhan, Hardiksingh Ashokkumar Jamnal, Poojan Jigneshkumar Pandya |
Mentor | Prof. J. H. Vaniya, Prof. N. C. Gamit |
Abstract | Farmers play major roles in GDP of our country. In various crops, early stage of any disease identification is very important. Farmers may not have idea about the disease and it leads failing of crops and loss to farmer. Various mobile application and Agriculture Universities are there to help farmers but adaptability and accessibility are major issues in that. So here we are proposing a Mobile application that can capture image from mobile device and identify disease in crops. We are using machine learning based image processing algorithms to identify the disease in crops and the proposing the solution to that which kind compost can be used to enhance the productivity. In overall solution will help farmers to enhance productivity, profit and quality of crops. |