Evaluating multiple regressors for the yield of orange orchards.

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Author(s): SOUZA, K. X. S. de; TERNES, S.; CAMARGO NETO, J.; SANTOS, T. T.; MOREIRA, A. S.; KOENIGKAN, L. V.; SOUZA, R. de

Summary: In this paper, we assess the effectiveness of various machine learning regressors for yield forecasting based on fruit detection in images captured within the orchard

Publication year: 2023

Types of publication: Paper in annals and proceedings

Unit: Embrapa Digital Agriculture

Keywords: Automatic fruit identification, Computer vision, Identificação automática de frutas, Image analysis, Laranja, Oranges, Visão computacional

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