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Weed Growth Stage Estimator Using Deep Convolutional Neural Networks
This study outlines a new method of automatically estimating weed species and growth stages (from cotyledon until eight leaves are visible) of in situ images covering 18 weed species or families. Images of weeds growing within a variety of crops were gathered across variable environmental conditions...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Sensors (Basel) |
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| Κύριοι συγγραφείς: | , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI
2018
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5981438/ https://ncbi.nlm.nih.gov/pubmed/29772666 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18051580 |
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