Detection and enumeration of wheat grains based on a deep learning method under various scenarios and scales

Detection and enumeration of wheat grains based on a deep learning method under various scenarios and scales

Grain number is crucial for analysis of yield components and assessment of effects of cultivation measures. The grain number per spike and thousand-grain weight can be measured by counting grains manually, but it is time-consuming, tedious and error-prone. Previous image processing algorithms cannot...

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Bibliographic Details
Main Authors: Wei WU, Tian-le YANG, Rui LI, Chen CHEN, Tao LIU, Kai ZHOU, Cheng-ming SUN, Chun-yan LI, Xin-kai ZHU, Wen-shan GUO
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2020-08-01
Series:Journal of Integrative Agriculture
Subjects:
wheat grain
deep learning
Faster R-CNN
object detection
counting
Online Access:http://www.sciencedirect.com/science/article/pii/S2095311919628030
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http://www.sciencedirect.com/science/article/pii/S2095311919628030

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