Open Access
Issue |
E3S Web Conf.
Volume 193, 2020
International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2020)
|
|
---|---|---|
Article Number | 01058 | |
Number of page(s) | 8 | |
Section | Agricultural Science | |
DOI | https://doi.org/10.1051/e3sconf/202019301058 | |
Published online | 08 October 2020 |
- J. L. Hatfield, A.A. Gitelson, J.S. Schepers, C.L Walthall, Application of spectral remote sensing for agronomic decisions, Agronomy Journal, vol. 100, pp. 117-131 (2008) [Google Scholar]
- D. Show, F. Lopez, M. Jurado-Expósito, Translation of Remote Sensing Data into Weed Management Decisions, Weed Science, v. 53, No.2, pp. 264-273 (2005) [CrossRef] [Google Scholar]
- L.F. Tian, A Review on Remote Sensing of Weeds in Agriculture, Precision Agriculture, v. 5, pages 477–508 (2004) [CrossRef] [Google Scholar]
- A.I. Dyshekov, I.G. Smirnov, M.A. Mirzaev, M.A. Shereuzhev, Published Principles of functioning of the autonomous device for weed control for precision agriculture, Published under licence by IOP (2020) [Google Scholar]
- N. Kozlov, Image segmentation and transformations preserving the shape of figures Intilligentnie sistemy. Teoriya i practica, v. 23, No. 2. pp. 57-70 (2019) (in Russian) [Google Scholar]
- E.E. Gazieva, A.V. Vasiliev, V.I Syriamkin, V.I. Yurchenko Lighting systems in vision equipment for monitoring electronic devices and systems, Tezisy docladov 8 naychnotehnicheskoy konferenzii «Electronie i electromehanicheskie sistemy I ystroistva», pp. 339–340 (2010) (in Russian) [Google Scholar]
- J.B. Gerrish, T.C. Surbrook, Mobile Robots in Agriculture, Robotics and intelligent machines in agriculture: proceedings of the first International Conference on Robotics and Intelligent Machines in Agriculture, October 2-4, American Society of Agricultural Engineers, pp. 30-41 (1983) (in Russian) [Google Scholar]
- L. Cooke, Smart sprayer selects weeds for elimination, Agricultural Research, v. 44(4) (1996) [Google Scholar]
- D.E. Peterson, Weed Detection Using Color Machine Vision (Transactions of the ASAE, Blasko, 1978) [Google Scholar]
- S.D. Noble, R.B. Brown, T.G. Crowe, The Use of Spectral Properties for Weed Detection and Identification – A Review (AIC meeting Saskatoon, Saskatchewan, 2002) [Google Scholar]
- J. Hemming, T. Rath, PA—Precision Agriculture: Computer-Vision-based Weed Identification under Field Conditions using Controlled Lighting Journal Agric. Eng v. 78, pp. 233–243 (2001) [CrossRef] [Google Scholar]
- D.E. Guyer, G.E. Miles, M.M. Schreiber, O.R. Mitchell, V.C. Vanderbilt, Machine vision and image processing for plant identification Transactions of the ASAE, v. 29 (6), pp. 1500-1507 [Google Scholar]
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