Leaf area (LA) is a crucial biophysical variable that is indispensable for many physiological and agronomic models. A reliable and accurate model based on artificial neural networks (ANNs) is proposed to estimate LA of tomato growth under greenhouse conditions. The multi-layer perceptron (MLP) ANN topology was selected for the present study with 5 (ANN5) and three (ANN3) input variables, the architectures...
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