GIS-Enhanced Crop Yield Modeling with Machine Learning
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 helpin...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2082/1/joit2024_37.pdf http://eprints.intimal.edu.my/2082/2/623 http://eprints.intimal.edu.my/2082/ http://ipublishing.intimal.edu.my/joint.html |
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| Summary: | 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. |
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