A concentration prediction-based crop digital twin using nutrient co-existence and composition in regression algorithms
Crop digital twin is redefining traditional farming practices, offering unprecedented opportunities for real-time monitoring, predictive and simulation analysis, and optimization. This research embarks on an exploration of the synergy between precision agriculture, crop modeling, and regression algo...
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Main Authors: | Ghazvini, Anahita, Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lee, Lai Soon |
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Format: | Article |
Language: | English |
Published: |
MDPI
2024
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Online Access: | http://psasir.upm.edu.my/id/eprint/111545/1/applsci-2754333.pdf http://psasir.upm.edu.my/id/eprint/111545/ https://www.mdpi.com/2076-3417/14/8/3383 |
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