Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment

Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment

<p dir="ltr">Accurate prediction of transpiration in protected agricultural settings with CO<sub>2</sub> enrichment is of high importance for the deployment of precision irrigation. Several physical and mechanistic based models are deployed for the estimation of transpira...

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Bibliographic Details
Main Author: Ikhlas Ghiat (16932564) (author)
Other Authors: Rajesh Govindan (15468857) (author), Amine Bermak (1895947) (author), Yin Yang (35103) (author), Tareq Al-Ansari (9872268) (author)
Published: 2023
Subjects:
Agricultural, veterinary and food sciences
Agriculture, land and farm management
Information and computing sciences
Data management and data science
Machine learning
Transpiration
Greenhouse
Hyperspectral imaging
Vegetation index
Deep neural networks
Support vector machines
Extreme gradient boosting
Precision irrigation
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