Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Machine learning models to predict daily actual evapotranspiration of citrus orchards under regulated deficit irrigation

Affiliation:	1. Department of Engineering, University of Palermo, Viale delle Scienze, Building 9, 90128 Palermo, Italy;2. Department Agriculture, Food and Forest Sciences, University of Palermo, Viale delle Scienze, Building 4, 90128 Palermo, Italy;3. CNIT - Consorzio Nazionale Interuniversitario per le Telecomunicazioni, Parma, Italy

Abstract:

Keywords:	Actual evapotranspiration Machine learning Artificial Neural Network Multi-Layer Perceptron Random Forest Citrus orchard Regulated deficit irrigation
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