Scientific computing in agriculture.
Scientific computing in agriculture.
Author(s): TERNES, S.; MOURA, M. F.; SOUZA, K. X. S. de; VAZ, G. J.; OLIVEIRA, S. R. de M.; HIGA, R. H.; LIMA, H. P. de; TAKEMURA, C. M.; COELHO, E. A.; BARBOSA, F. F. L.; VISOLI, M. C.; MENEZES, G. R. de O.; SILVA, L. O. C. da; SANTOS, S. A.; MASSRUHÁ, S. M. F. S.; ABREU, U. G. P. de; SORIANO, B. M. A.; SALIS, S. M.; OLIVEIRA, M. D. de; TOMAS, W. M.
Summary: Introduction. Artificial intelligence: Automatic soil classification; SiBCS-based expert system; Intelligent soil classification system. Text mining in technical-scientific publications. Mathematical and statistical modeling: Modeling the citrus HLB dispersion dynamics; Genetic evaluation of livestock; Sustainable Pantanal Farm; The Sustainable Pantanal Farm software. Final considerations.
Publication year: 2023
Types of publication: Book sections
Keywords: Agricultura, Agricultura digital, Agriculture, Análise Estatística, Aprendizado de máquina, Artificial intelligence, Computação científica, Digital agriculture, Inteligência Artificial, Machine learning, Mathematical models, Mineração de textos, Modelagem matemática, Statistical analysis, Text mining, Transformação digital na agricultura
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