Machine learning on multi‐spectral imagery to estimate nutrient yield of mixed‐species cover crops

Machine learning on multi‐spectral imagery to estimate nutrient yield of mixed‐species cover crops

Abstract This study aimed to estimate mixed‐species cover crop (CC) biomass and nutrient contents using remote sensing, as ground‐based measurements are time‐consuming and costly. Eleven CC treatments with varying grass‐legume proportions (GLP) were sampled, and nutrient contents were determined alo...

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Bibliographic Details
Main Authors:	Tulsi P. Kharel, Heather L. Tyler, Partson Mubvumba, Yanbo Huang, Ammar B. Bhandari, Reginald S. Fletcher, Saseendran Anapalli, Deepak R. Joshi, Alemu Mengistu, Girma Birru, Kabindra Adhikari, Madhav Dhakal, Mahesh L. Maskey, Krishna N. Reddy, David E. Clay
Format:	Article
Language:	English
Published:	Wiley 2025-06-01
Series:	Agricultural & Environmental Letters
Online Access:	https://doi.org/10.1002/ael2.70009
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