Year: 2024
Type: article
Abstract: India, with its vast population and agrarian society, faces challenges in agricultural practices. Many farmers continue to grow the same crops repeatedly without experimenting with new varieties. To address these issues, we have developed a system using machine learning algorithms aimed at helping farmers. Our system recommends the most suitable crops for specific lands based on soil content and weather conditions. It also provides information on the appropriate type and number of fertilizers and the necessary seeds for cultivation. By using our system, farmers can diversify their crops, potentially increase their profit margins, and reduce soil pollution.
Authors: Venkatesh S.D., Chitra K., Harilakshami V.M.
Institution: Dayananda Sagar Academy of Technology and Management
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: hybrid
OpenAlex ID: W4405004476