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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-08-01
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| Series: | Journal of Integrative Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311919628030 |