Artificial neural networks compared with Bayesian generalized linear regression for leaf rust resistance prediction in Arabica coffee

Autor: SILVA, G. N., NASCIMENTO, M., SANT'ANNA, I. de C., CRUZ, C. D., CAIXETA, E. T., CARNEIRO, P. C. S., ROSADO, R. D. S., PESTANA, K. N., ALMEIDA, D. P. de, OLIVEIRA, M. da S.

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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The objective of this work was to evaluate the use of artificial neural networks in comparison with Bayesian generalized linear regression to predict leaf rust resistance in Arabica coffee (Coffea arabica). This study used 245 individuals of a F2 pop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::b15185727a9e365e86fa10d7a7251e70
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069618