CLASSIFICATION OF BANANA RIPENING STAGES BY ARTIFICIAL NEURAL NETWORKS AS A FUNCTION OF PLANT PHYSICAL, PHYSICOCHEMICAL, AND BIOCHEMICAL PARAMETERS
Author:
Affiliation:
1. São Paulo State University, Brazil
2. Embrapa Soja, Brazil
Publisher
FapUNIFESP (SciELO)
Subject
Agricultural and Biological Sciences (miscellaneous)
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0100-69162022000300205&tlng=en
Reference13 articles.
1. Prediction of banana quality attributes and ripeness classification using artificial neural network;Adebayo SE;Acta Horticulturae,2017
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3. Automatic Recovery Estimation of Degraded Soils by Artificial Neural Networks in Function of Chemical and Physical Attributes in Brazilian Savannah Soil;Bonini Neto A;Communications in Soil Science and Plant Analysis,2019
4. Características mercadológicas da banana: oferta e consumo na metrópole paulistana em 2019,2019
5. Applying an artificial neural network approach to the analysis of tractive properties in changing soil conditions;Pentos K;Soil & Tillage Research,2017
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1. Fuzzy Logic and Artificial Neural Network Perceptron Multi-Layer and Radial Basis in Estimating Marandu Grass Yield in Integrated Systems;Communications in Soil Science and Plant Analysis;2023-09-04
2. Radial base neural network for the detection of banana maturation stages: perceptron multilayer network comparison;Revista Brasileira de Engenharia de Biossistemas;2022-11-15
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