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...
Saved in:
| Main Authors: | Ghazvini, Anahita, Mohd Sharef, Nurfadhlina, Balasundram, Siva Kumar, Lee, Lai Soon |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/111545/1/applsci-2754333.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction of course grades in computer science higher education program via a combination of loss functions in lstm model
by: Ghazvini, Anahita, et al.
Published: (2024) -
Twin-twin transfusion syndrome /
Published: (2007) -
Anesthesia and co-existing disease /
Published: (2007) -
Learn to co-exist with Covid-19
by: Zainal, Fatimah
Published: (2021) -
Stoelting's anesthesia and co-existing disease /
Published: (2012)
