RF-Based Moisture Content Determination in Rice Using Machine Learning Techniques

RF-Based Moisture Content Determination in Rice Using Machine Learning Techniques

Seasonal crops require reliable storage conditions to protect the yield once harvested. For long term storage, controlling the moisture content level in grains is challenging because existing moisture measuring techniques are time-consuming and laborious as measurements are carried out manually. The...

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Bibliographic Details
Main Authors: Noraini Azmi, Latifah Munirah Kamarudin, Ammar Zakaria, David Lorater Ndzi, Mohd Hafiz Fazalul Rahiman, Syed Muhammad Mamduh Syed Zakaria, Latifah Mohamed
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
moisture content measurement
neural network
smart farming
double frequency
grain moisture content
radio frequency
Online Access:https://www.mdpi.com/1424-8220/21/5/1875

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