Identification Method of Wheat Grain Phenotype Based on Deep Learning of ImCascade R-CNN

Identification Method of Wheat Grain Phenotype Based on Deep Learning of ImCascade R-CNN

ObjectiveWheat serves as the primary source of dietary carbohydrates for the human population, supplying 20% of the required caloric intake. Currently, the primary objective of wheat breeding is to develop wheat varieties that exhibit both high quality and high yield, ensuring an overall increase in...

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Bibliographic Details
Main Authors: PAN Weiting, SUN Mengli, YUN Yan, LIU Ping
Format: Article
Language:English
Published: Editorial Office of Smart Agriculture 2023-09-01
Series:智慧农业
Subjects:
wheat breeding
imcascade r-cnn model
grain integrity
semantic segmentation
grain phenotype parameters
deep learning
Online Access:http://www.smartag.net.cn/CN/abstract/abstract22181.shtml

Internet

http://www.smartag.net.cn/CN/abstract/abstract22181.shtml

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