Evaluation of the Reference Evapotranspiration for a Greenhouse Crop Using anAdaptive-Network-Based Fuzzy Inference System (ANFIS)
| Autor: | Frédéric Lafont, Julio C. Fernández, Jean-François Balmat, Abdouramane Moussa Ali, Nathalie Pessel |
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| Přispěvatelé: | Laboratoire d'Informatique et Systèmes (LIS), Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Contrôle et Diagnostic pour l’Environnement (CDE), Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Universidad politécnica de pachuca, Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adaptive neuro fuzzy inference system
010504 meteorology & atmospheric sciences 0208 environmental biotechnology Greenhouse 02 engineering and technology Agricultural engineering Greenhouse crops 01 natural sciences 020801 environmental engineering [SPI.AUTO]Engineering Sciences [physics]/Automatic Crop evapotranspiration Fuzzy inference system Evapotranspiration Environmental science ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences |
| Zdroj: | The 3rd International Conference on Machine Learning and Soft Computing (ICMLSC 2019) The 3rd International Conference on Machine Learning and Soft Computing (ICMLSC 2019), Jan 2019, Da Lat, Vietnam ICMLSC |
| Popis: | In this paper, the evaluation of the reference crop evapotranspiration (ETo) in a greenhouse is studied. Based upon an Adaptive-Network-Based Fuzzy Inference System (ANFIS), we proposed a methodology to estimate ETo using less information than the classical methods. The results obtained are presented for a greenhouse with real data. |
| Databáze: | OpenAIRE |
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