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Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks
Rapeseed is an important oil crop in China. Timely estimation of rapeseed stand count at early growth stages provides useful information for precision fertilization, irrigation, and yield prediction. Based on the nature of rapeseed, the number of tillering leaves is strongly related to its growth st...
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| Vydáno v: | Front Plant Sci |
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| Hlavní autoři: | , , , , , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Frontiers Media S.A.
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7298076/ https://ncbi.nlm.nih.gov/pubmed/32587594 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpls.2020.00617 |
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