Using Artificial Neural Networks to Produce High- Resolution Soil Property Maps

High-resolution maps of soil property are considered as the most important inputs for decision support and policy-making in agriculture, forestry, flood control, and environmental protection. Commonly, soil properties are mainly obtained from field surveys. Field soil surveys are generally time-cons...

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Autores:

Tipo de recurso:

Book

Fecha de publicación:

2021

Institución:

Universidad de Bogotá Jorge Tadeo Lozano

Repositorio:

Expeditio: repositorio UTadeo

Idioma:

eng

OAI Identifier:

oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/16833

Acceso en línea:

https://www.intechopen.com/books/advanced-applications-for-artificial-neural-networks/using-artificial-neural-networks-to-produce-high-resolution-soil-property-maps
http://hdl.handle.net/20.500.12010/16833

Palabra clave:

Biología
Carbono orgánico del suelo
Textura de la tierra
Drenaje del suelo

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