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Vis-NIR Spectroscopy and Machine Learning for Prediction of Soil Fertility Indicators and Fertilizer Recommendation in Andean Highland and Rainforest Agroecosystems

delete2026-04-27
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OA
AI
S
Samuel Pizarro
D
Dennis Ccopi-Trucios
K
Kevin Ortega
D
Duglas Contreras
J
Javier Ñaupari
D
Deyvis Cano
S
Solanch Patricio
H
Hildo Loayza
O
Orly Enrique Apolo-Apolo *
DOI:10.3390/rs18091331delete
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Abstract

Abstract

En
Keywords:
Vis-NIR spectroscopy
machine learning
Andean highlands
rainforest
soil fertility
prediction models
fertilizer recommendations
precision agriculture
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Remote Sensing cover
Remote Sensing
IF:
4.1
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6.8K
Citations:
15.1W

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I
Instituto Nacional de Innovación Agraria (INIA)
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Federal University of Rio Grande do Sul
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international potato center
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Instituto Nacional de Innovación Agraria
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instituto nacional de innovación agraria
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IRTA
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universidad nacional agraria la molina
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