High-throughput phenotyping using VIS/NIR spectroscopy in the classification of soybean genotypes for grain yield and industrial traits

Dthenifer Cordeiro Santana,Izabela Cristina de Oliveira,João Lucas Gouveia de Oliveira,Fábio Henrique Rojo Baio,Larissa Pereira Ribeiro Teodoro,Carlos Antonio da Silva Junior, Ana Carina Candido Seron,Luis Carlos Vinhas Ítavo,Paulo Carteri Coradi,Paulo Eduardo Teodoro

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy（2024）

引用 0|浏览4

暂无评分

摘要

•Soybean genotypes were grouped according to their grain yield and industrial traits.•Support Vector Machine and J48 algorithms performed better at classifying them.•Using the spectral bands selected in the study improved the classification accuracy of the algorithms.

查看译文

关键词

Hyperspectral sensor,Machine learning,Crude protein,Decision tree,Support vector machine

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要