Battle Royale Optimization for Optimal Band Selection in Predicting Soil Nutrients Using Visible and Near-Infrared Reflectance Spectroscopy and PLSR Algorithm

Battle Royale Optimization for Optimal Band Selection in Predicting Soil Nutrients Using Visible and Near-Infrared Reflectance Spectroscopy and PLSR Algorithm

An attempt was made to quantify soil properties using hyperspectral remote-sensing techniques and machine-learning algorithms. In total, 100 soil samples representing various locations and soil-nutrient statuses were collected, and the samples were analyzed for soil pH, EC, soil organic carbon, avai...

Full description

Saved in:
Bibliographic Details
Main Authors: Jagadeeswaran Ramasamy, Anand Raju, Kavitha Krishnasamy Ranganathan, Muthumanickam Dhanaraju, Backiyathu Saliha, Kumaraperumal Ramalingam, Sathishkumar Samiappan
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Journal of Imaging
Subjects:
spectral techniques
soil properties
machine-learning approach
PLSR
BRO
Online Access:https://www.mdpi.com/2313-433X/11/3/83
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2313-433X/11/3/83

Similar Items