Predicting coffee water potential from spectral reflectance indices with neural networks

Predicting coffee water potential from spectral reflectance indices with neural networks

Leaf water potential is one of the main parameters used to assess water relations in plants by revealing levels of tissue hydration. It is commonly measured with the Scholander pressure chamber; which demands hard work and a time-consuming process. On the other hand, there is a diversified literatur...

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Bibliographic Details
Main Authors: Pedro Henrique Nunes, Eduardo Vilela Pierangeli, Meline Oliveira Santos, Helbert Rezende Oliveira Silveira, Christiano Sousa Machado de Matos, Alessandro Botelho Pereira, Helena Maria Ramos Alves, Margarete Marin Lordelo Volpato, Vânia Aparecida Silva, Danton Diego Ferreira
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Smart Agricultural Technology
Subjects:
Artificial intelligence
Artificial neural networks
Coffee trees
Decision trees
Water potential
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375523000436

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http://www.sciencedirect.com/science/article/pii/S2772375523000436

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