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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ikhlas Ghiat (16932564) (author)
مؤلفون آخرون: Rajesh Govindan (15468857) (author), Amine Bermak (1895947) (author), Yin Yang (35103) (author), Tareq Al-Ansari (9872268) (author)
منشور في: 2023
الموضوعات:
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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