Abstract
India’s economy and employment are heavily reliant on agriculture. Farm Assist emerges as a groundbreaking digital platform, reshaping how farmers access and leverage agricultural support. This web-based tool stands at the forefront of facilitating farmers with custom-tailored recommendations for agricultural programs and real-time updates on farming news. At its essence, Farm Assist harnesses the power of advanced data processing techniques, including machine learning, to sift through and interpret a diverse range of data specific to each farmer, such as crop varieties, land extent, and local climatic conditions. This approach ensures the delivery of highly relevant and practical scheme suggestions directly applicable to each farmer’s unique situation. The interface of Farm Assist is crafted for simplicity and ease of use, ensuring that farmers of varying digital literacy can navigate and utilize the platform effectively. This aspect is crucial in diminishing the digital barriers commonly encountered in rural farming sectors. Moreover, Farm Assist incorporates a constantly updating feed of agricultural news, equipping farmers with cutting-edge knowledge and practices in the agricultural realm, thus fostering well-informed agricultural decisions and modern cultivation techniques. Key words: Farm Assist, Web-based Dashboard, Scheme Recommendation System, Crop Prediction, Precision Agriculture, Real Time Farming News, Weather Forecast
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal Of Recent Trends In Multidisciplinary Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.