Automatic estimation of rice grain number based on a convolutional neural network.

Abstract excerpt

The grain number on the rice panicle, which directly determines the rice yield, is a very important agronomic trait in rice breeding and yield-related research. However, manual counting of grain number per rice panicle is time-consuming, error-prone, and laborious. In this study, a novel prototype, dubbed the "GN-System," was developed for the automatic calculation of grain number per rice panicle based on a deep...

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