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Evaluation of the Reference Evapotranspiration for a Greenhouse Crop Using an Adaptive-Network-Based Fuzzy Inference System (ANFIS)

Jean-François Balmat 1, 2 Frédéric Lafont 1, 2 Abdouramane Moussa Ali 1, 2 Nathalie Pessel 1, 2 Julio Cesar Ramos Fernandez 3 
1 LIS - Laboratoire d'Informatique et Systèmes
2 CDE - Contrôle et Diagnostic pour l’Environnement
LIS - Laboratoire d'Informatique et Systèmes
3 Universidad politécnica de pachuca
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Conference papers
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https://hal-univ-tln.archives-ouvertes.fr/hal-01989007
Contributor : Frédéric Lafont Connect in order to contact the contributor
Submitted on : Tuesday, January 22, 2019 - 11:05:10 AM
Last modification on : Thursday, July 14, 2022 - 4:09:01 AM

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  • HAL Id : hal-01989007, version 1

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UNIV-TLN | CNRS | UNIV-AMU | TDS-MACS | LIS-LAB

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Jean-François Balmat, Frédéric Lafont, Abdouramane Moussa Ali, Nathalie Pessel, Julio Cesar Ramos Fernandez. Evaluation of the Reference Evapotranspiration for a Greenhouse Crop Using an Adaptive-Network-Based Fuzzy Inference System (ANFIS). The 3rd International Conference on Machine Learning and Soft Computing (ICMLSC 2019), Jan 2019, Da Lat, Vietnam. ⟨hal-01989007⟩

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