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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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| Yayımlandı: | Front Plant Sci |
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| Asıl Yazarlar: | , , , , , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2020
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| Konular: | |
| Online Erişim: | 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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