Influence of intensity of illumination on weed recognition algorithm

M. A. Mirzaev; A.I. Dyshekov; I.G. Smirnov

doi:10.1051/e3sconf/202019301058

All issues

Volume 193 (2020)

E3S Web Conf., 193 (2020) 01058

References

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

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[1] 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]

[2] 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]

[3] L.F. Tian, A Review on Remote Sensing of Weeds in Agriculture, Precision Agriculture, v. 5, pages 477–508 (2004) [CrossRef] [Google Scholar]

[4] 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]

[5] 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]

[6] 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]

[7] 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]

[8] L. Cooke, Smart sprayer selects weeds for elimination, Agricultural Research, v. 44(4) (1996) [Google Scholar]

[9] D.E. Peterson, Weed Detection Using Color Machine Vision (Transactions of the ASAE, Blasko, 1978) [Google Scholar]

[10] 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]

[11] 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]

[12] 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]