Data-driven rice yield predictions and prescriptive analytics for sustainable agriculture in Malaysia
Maximizing rice yield is critical for ensuring food security and sustainable agriculture in Malaysia. This research investigates the impact of environmental conditions and management methods on crop yields, focusing on accurate predictions to inform decision-making by farmers. Utilizing machine lear...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Information Organization
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/112884/1/112884.pdf http://psasir.upm.edu.my/id/eprint/112884/ https://thesai.org/Publications/ViewPaper?Volume=15&Issue=3&Code=IJACSA&SerialNo=37 |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |