Consumer-grade UAV utilized for detecting and analyzing late-season weed spatial distribution patterns in commercial onion fields
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Link
http://link.springer.com/content/pdf/10.1007/s11119-021-09786-y.pdf
Reference71 articles.
1. Abburu, S., & Golla, S. B. (2015). Satellite image classification methods and techniques: A review. International Journal of Computer Applications, 119(8), 20–25.
2. Alvarez-Fernandez, R. (2012). Herbicides—environmental impact studies and management approaches. Herbicides—Environmental Impact Studies and Management Approaches. InTech. https://doi.org/https://doi.org/10.5772/1206
3. Andújar, D., Ruiz, D., Ribeiro, Á., Fernández-Quintanilla, C., & Dorado, J. (2011). Spatial distribution patterns of johnsongrass (Sorghum halepense) in corn fields in Spain. Weed Science, 59(1), 82–89. https://doi.org/10.1614/ws-d-10-00114.1.
4. Bagavathiannan, M. V., Graham, S., Ma, Z., Barney, J. N., Coutts, S. R., Caicedo, A. L., et al. (2019). Considering weed management as a social dilemma bridges individual and collective interests. Nature Plants, 5(4), 343–351. https://doi.org/10.1038/s41477-019-0395-y.
5. Bagavathiannan, M. V., & Norsworthy, J. K. (2012). Late-season seed production in arable weed communities: Management implications. Weed Science, 60(3), 325–334. https://doi.org/10.1614/WS-D-11-00222.1.
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