Intelligent agricultural modelling of soil nutrients and ph classification using ensemble deep learning techniques

Soil nutrients are a vital part of soil fertility and other environmental factors. Soil testing is an efficient tool used to evaluate the existing nutrient levels of soil and aid to compute the appropriate quantity of soil nutrients depending upon the fertility level and crop requirements. Since the...

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Autores:

Escorcia-Gutierrez, Jose
Gamarra, Margarita
Soto-Diaz, Roosvel
Pérez, Meglys
Madera, Natasha
Mansour, Romany F.

Tipo de recurso:

Article of journal

Fecha de publicación:

2022

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/9384

Acceso en línea:

https://hdl.handle.net/11323/9384
https://doi.org/10.3390/agriculture12070977
https://repositorio.cuc.edu.co/

Palabra clave:

Soil nutrients
pH classification
Agriculture
Soil management
Deep learning
Ensemble model

Rights

openAccess

License

© 2022 by the authors. Licensee MDPI, Basel, Switzerland.