ITM Web Conf.
Volume 32, 2020International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|Number of page(s)||5|
|Published online||29 July 2020|
Collaborative Recommendation System For Agriculture Sector
Agriculture is one of the most important sector in India and the farmers are one of the most essential members of society. The major economy of the country comes from the agricultural sector. Though there is no end to the woes of Indian Farmers. One of the major causes for the continuing Indian farmer distress is lack of knowledge and benefits of the agricultural programs and schemes proposed by the Government of India.The Collaborative Recommendation System For Agriculture Sector is one such way to solve this problem. There are various workshops conducted to create awareness about the government schemes to the farmers but still the results are not seen as expected. Even if they are aware they are not solved and hence many NGOs and and Institutes have come up with various measures to solve this problem. Our research system focuses on helping the farmers by answering their agricultural queries by generating a profile of basic requirements through a web application and recommends the proposed government schemes developed to help farmers.The recommendation system also periodically update farmers with the recent trends in agricultural field, new Government schemes and programs. Keywords - agriculture, government schemes, web application, recommendation, knn algorithm, cosine similarity, CRSAS- Collaborative Recommendation System For Agriculture Sector
© The Authors, published by EDP Sciences, 2020
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