15 citations as recorded by crossref.

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3. Monitoring Energy Balance, Turbulent Flux Partitioning, Evapotranspiration and Biophysical Parameters of Nopalea cochenillifera (Cactaceae) in the Brazilian Semi-Arid Environment A. Jardim et al. 10.3390/plants12132562
4. Gross primary productivity estimation through remote sensing and machine learning techniques in the high Andean Region of Ecuador C. Urgilés et al. 10.1007/s00484-024-02832-0
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6. On the use of machine learning methods to improve the estimation of gross primary productivity of maize field with drip irrigation H. Guo et al. 10.1016/j.ecolmodel.2022.110250
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8. Using automated machine learning for the upscaling of gross primary productivity M. Gaber et al. 10.5194/bg-21-2447-2024
9. Sink or carbon source? how the Opuntia cactus agroecosystem interacts in the use of carbon, nutrients and radiation in the Brazilian semi-arid region A. Jardim et al. 10.1016/j.jhydrol.2023.130121
10. Energy balance, water use efficiency, and photochemistry of two globally cultivated rainfed cactus species A. Jardim et al. 10.1016/j.agwat.2025.109385
11. Partitioning of water vapor and CO fluxes and underlying water use efficiency evaluation in a Brazilian seasonally dry tropical forest (Caatinga) using the Fluxpart model C. Borges et al. 10.1016/j.jsames.2024.104963
12. Modeling Terrestrial Net Ecosystem Exchange Based on Deep Learning in China Z. Chen et al. 10.3390/rs17010092
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14. Application of machine learning techniques to simulate the evaporative fraction and its relationship with environmental variables in corn crops T. Zenone et al. 10.1186/s13717-022-00400-1
15. Machine learning estimates of eddy covariance carbon flux in a scrub in the Mexican highland A. Guevara-Escobar et al. 10.5194/bg-18-367-2021