Leaf area estimation in Coffea canephora genotypes by neural networks and multiple regression
Edney L. da Vitória,
André O. Nardotto Júnior,
Luis F. O. Ribeiro
et al.
Abstract:Leaf area data from coffee plants are important for studies and analyses of grain yield, physiology, adaptation to environmental conditions, and cultural management. The objective of this study was to predict leaf area of coffee plants using artificial neural networks and compare the efficiency of this methodology with multiple regression models. Forty-three genotypes of similar reproduction and age were evaluated, testing 14 types of multiple regression equations from combinations of leaf length and width. Th… Show more
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