Non-Destructive Measurement of Rice Spikelet Size Based on Panicle Structure Using Deep Learning Method

Non-Destructive Measurement of Rice Spikelet Size Based on Panicle Structure Using Deep Learning Method

Rice spikelet size, spikelet length and spikelet width, are very important traits directly related to a rice crop’s yield. The accurate measurement of these parameters is quite significant in research such as breeding, yield evaluation and variety improvement for rice crops. Traditional measurement...

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Bibliographic Details
Main Authors: Ruoling Deng, Weisen Liu, Haitao Liu, Qiang Liu, Jing Zhang, Mingxin Hou
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Agronomy
Subjects:
rice spikelet size
deep learning
convolutional neural network
automatic measurement
image
Online Access:https://www.mdpi.com/2073-4395/14/10/2398
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