Modelling agronomic images for weed detection and comparison of crop/weed discrimination algorithm performance
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Link
http://link.springer.com/content/pdf/10.1007/s11119-008-9086-9.pdf
Reference26 articles.
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3. Bossu, J., Gée, C., Guillemin, J. P., & Truchetet, F. (2006). Development of methods based on double Hough transform and Gabor filtering to discriminate crop and weeds in agronomic images. In Proceedings SPIE 18th Annual Symposium on Electronic Imaging Science and technology—“Machine Vision Applications in Industrial inspection XIV”, Vol. 6070.
4. Brown, R. B., & Steckler, J. P. G. A. (1995). Prescription maps for spatially variable herbicide applications in no-till corn. Transactions of the ASAE, 38(6), 1659–1666.
5. Cardina, J., Johnson, G., & Sparrow, D. (1997). The nature and consequence of weed spatial distribution. Weed Science, 43, 364–373.
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