Paper Key : IRJ************725
Author: Yojan Gandhi,Ankita Singh,Shruti Shinde,Rohan Lande,Naman Buradkar
Date Published: 15 Nov 2024
Abstract
This project focuses on developing a software solution to assist farmers in optimizing crop yields and managing agricultural expenses. By allowing users to input crucial field data including soil type, crop type, land area, location, and month of sowing, the system generates yield predictions and cost estimates while factoring in economic variables like inflation. The software offers insights that help farmers plan their activities, facilitating better resource management and financial planning. It is designed to be both cost-effective and user-friendly, eliminating the need for expensive hardware or sensors, making it accessible to a wide range of users. Adaptable to diverse regions, the solution empowers farmers with data-driven recommendations to improve productivity and manage expenses efficiently. Ultimately, the project aims to support sustainable agricultural practices and enhance the economic resilience of farming communities.
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