Artificial Neural Network Modeling of Greenhouse Tomato Yield and Aerial Dry Matter

Non-linear systems, such as biological systems, can be simulated by artificial neural network (ANN) techniques. This research aims to use ANN to simulate the accumulated aerial dry matter (leaf, stem, and fruit) and fresh fruit yield of a tomato crop. Two feed-forward backpropagation ANNs, with thre...

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Veröffentlicht in:Agriculture (Basel) 2020-04, Vol.10 (4), p.97, Article 97
Hauptverfasser: Lopez-Aguilar, Kelvin, Benavides-Mendoza, Adalberto, Gonzalez-Morales, Susana, Juarez Maldonado, Antonio, Chinas-Sanchez, Pamela, Morelos-Moreno, Alvaro
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Sprache:eng
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