Drought tolerance classification of grapevine rootstock by machine learning for the São Francisco Valley

Drought tolerance classification of grapevine rootstock by machine learning for the São Francisco Valley

Machine Learning (ML) algorithms are increasingly being used in several areas of agricultural studies, such as plant breeding. ML can assist in the recognition of relevant patterns or groups, or even in the prediction of the outcome under new settings, thus accelerating experiments and interpretatin...

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Bibliographic Details
Main Authors: Nina Iris Verslype, André Câmara Alves do Nascimento, Rosimar dos Santos Musser, Raphael Miller de Souza Caldas, Luiza Suely Semen Martins, Patrícia Coelho de Souza Leão
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Smart Agricultural Technology
Subjects:
Hydric stress
Vitis spp.
Climatic changes
Artificial intelligence
Supervised learning
Algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375523000229

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http://www.sciencedirect.com/science/article/pii/S2772375523000229

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