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Automated Counting Grains on the Rice Panicle Based on Deep Learning Method

Grain number per rice panicle, which directly determines grain yield, is an important agronomic trait for rice breeding and yield-related research. However, manually counting grains of rice per panicle is time-consuming, laborious, and error-prone. In this research, a grain detection model was propo...

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Bibliografiska uppgifter
I publikationen:Sensors (Basel)
Huvudupphovsmän: Deng, Ruoling, Tao, Ming, Huang, Xunan, Bangura, Kemoh, Jiang, Qian, Jiang, Yu, Qi, Long
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI 2021
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7795532/
https://ncbi.nlm.nih.gov/pubmed/33406615
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21010281
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