Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices

Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices

Recent advanced high-throughput field phenotyping combined with sophisticated big data analysis methods have provided plant breeders with unprecedented tools for a better prediction of important agronomic traits, such as yield and fresh biomass (FBIO), at early growth stages. This study aimed to dem...

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Bibliographic Details
Main Authors: Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Remote Sensing
Subjects:
high-throughput phenotyping
machine learning
multi-objective optimization algorithm
radial basis function
random forest
support vector regression
Online Access:https://www.mdpi.com/2072-4292/13/13/2555

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