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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Detalles Bibliográficos
Autores principales: Azmi, Noraini, Kamarudin, Latifah Munirah, Zakaria, Ammar, Ndzi, David Lorater, Rahiman, Mohd Hafiz Fazalul, Zakaria, Syed Muhammad Mamduh Syed, Mohamed, Latifah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962462/
https://www.ncbi.nlm.nih.gov/pubmed/33800174
http://dx.doi.org/10.3390/s21051875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962462/
https://www.ncbi.nlm.nih.gov/pubmed/33800174
http://dx.doi.org/10.3390/s21051875

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