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DOI Prefix: 10.47001/IRJIET
Vol 7 No 3 (2023): Volume 7, Issue 3, March 2023 | Pages: 170-173
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 15-04-2023
Agriculture is a critical development in the rise of sedentary human civilization, as the farming of domesticated species produced food surpluses that allowed people to live in cities. And identifying each crop simply by looking at the leaves will be difficult, and selling the crop at a suitable and affordable price will be difficult for a farmer.To address all these issues, we are developing an application in which we are developing an algorithm that detects the type of crop by providing the leaf input image, as well as a platform in which an investor can invest in a crop by funding a crop that is provided by the farmer, and where a farmer can sell his or her crops to buyers at crop-appropriate prices.
Agriculture, Deep Learning, Investment, Farmers, Selling
M. Venkata Krishna Rao, A. Manideep, P. Jeevan Kumar, B. Tejashwini, B. Ramya, “E-Agri Kit - Agriculture Aid Using Deep Learning” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 3, pp 170-173, March 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.703026
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