Identifying Optimal Wavelengths from Visible–Near-Infrared Spectroscopy Using Metaheuristic Algorithms to Assess Peanut Seed Viability

Identifying Optimal Wavelengths from Visible–Near-Infrared Spectroscopy Using Metaheuristic Algorithms to Assess Peanut Seed Viability

Peanuts, owing to their composition of complex carbohydrates, plant protein, unsaturated fatty acids, and essential minerals (magnesium, iron, zinc, and potassium), hold significant potential as a vital component of the human diet. Additionally, their low water requirements and nitrogen fixation cap...

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Bibliographic Details
Main Authors: Mohammad Rajabi-Sarkhani, Yousef Abbaspour-Gilandeh, Abdolmajid Moinfar, Mohammad Tahmasebi, Miriam Martínez-Arroyo, Mario Hernández-Hernández, José Luis Hernández-Hernández
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Agronomy
Subjects:
seed viability
spectrometry
variable selection method
machine learning
nondestructive diagnosis
metaheuristic algorithm
Online Access:https://www.mdpi.com/2073-4395/13/12/2939

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