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Author/Affiliation: Jorge Serrano ReyesOpen AccessArticle
7 Pages, 714 KB 
Using Supervised Classification Methods for the Analysis of Multi-spectral Signatures of Rice Varieties in Panama
Abstract:
In this article supervised classification methods for the analysis of local Panamanian rice crops using Near-Infrared (NIR) spectral signatures are assessed. Neural network ( Multilayer Perceptron-MLP) and Tree based (Decision Trees-DT and Random Forest-RF) algorithms are used as regression and supervised classification of the spectral signatures by rice varieties, against other crops and by plant…
Read More(This article belongs to the SP10 (Special Issue on Multidisciplinary Sciences and Engineering 2020-21) & Section Agricultural Engineering (AEN))