Assessment of Grain Harvest Moisture Content Using Machine Learning on Smartphone Images for Optimal Harvest Timing

Grain moisture content (GMC) is a key indicator of the appropriate harvest period of rice. Conventional testing is time-consuming and laborious, thus not to be implemented over vast areas and to enable the estimation of future changes for revealing optimal harvesting. Images of single panicles were...

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Detalles Bibliográficos
Autores principales: Yang, Ming-Der, Hsu, Yu-Chun, Tseng, Wei-Cheng, Lu, Chian-Yu, Yang, Chin-Ying, Lai, Ming-Hsin, Wu, Dong-Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433732/
https://www.ncbi.nlm.nih.gov/pubmed/34502765
http://dx.doi.org/10.3390/s21175875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433732/
https://www.ncbi.nlm.nih.gov/pubmed/34502765
http://dx.doi.org/10.3390/s21175875

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