An Optimized Soil Moisture Prediction Model for Smart Agriculture Using Gaussian Process Regression

Conference Object

Abstract: An accurate soil moisture model is critical in the design and implementation of a smart agriculture

Palabras claves:

Bayesian optimization, kernel function, Machine learning, Smart agriculture, soil moisture

Autores:

Jennifer C. Dela Cruz, Mabunga Z.P.

Fuentes:

scopus