Upper limit for context–based crop classification in robotic weeding applications

Biosystems Engineering

Volumn 146, Issue , 2016, Pages 183-192

  Midtiby, Henrik Skov ^a   Åstrand, Björn ^b   Jørgensen, Ole ^c   Jørgensen, Rasmus Nyholm ^c  

^a UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^b HALMSTAD UNIVERSITY   (Sweden)

^c AARHUS UNIVERSITY   (Denmark)

Author keywords

Crop recognition; Row structure; Weeding robots

Indexed keywords

ROBOTICS; SUGAR BEETS; WEED CONTROL;

CROP CLASSIFICATION; CROP RECOGNITION; MECHANICAL STRESS; PERCEPTION SYSTEMS; POSITIVE PREDICTIVE VALUES; PRECISE POSITION; ROW STRUCTURE; WEEDING ROBOTS;

CROPS;

EID: 84983580754     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2016.01.012     Document Type: Article

References (20)

1. Åstrand, B., Vision based perception for mechatronic weed control. (Ph.D. thesis), 2005, Chalmers University of Technology, Gothenburg, Sweden.
2. Åstrand, B., Baerveldt, A.J., Plant recognition and localization using context information. Proc. Of the IEEE conference mechatronics and robotics 2004-special sessions autonomous machines in agriculture, Aachen, Germany, September 13-15, 2004, 1191–1196.
3. Bontsema, J., van Asselt, C.J., Lempens, P.W.J., van Straten, G., Intra-row weed control: a mechatronics approach. Control applications and ergonomics in agriculture (CAEA ′98), 1998.
4. Chen, Y., Jin, X., Tang, L., Che, J., Sun, Y., Chen, J., Intra-row weed recognition using plant spacing information in stereo images. 2013 Kansas city, Missouri, July 21–July 24, 2013, 2013, American Society of Agricultural and Biological Engineers, St. Joseph, MI.
5. Cordill, C., Grift, T., Design and testing of an intra-row mechanical weeding machine for corn. Biosystems Engineering 110 (2011), 247–252.
6. Frank Poulsen Engineering, Mechanical hoeing robot. 2014 http://visionweeding.com/Products/Intra Row Weeding/ROBOVATOR.htm.
7. Garford, Robocrop inrow. 2011 http://garford.com/PDF/robocrop inrow en.pdf.
8. Giselsson, T.M., Midtiby, H.S., Jørgensen, R.N., Seedling discrimination with shape features derived from a distance transform. Sensors (Basel, Switzerland) 13 (2013), 5585–5602.
9. Griepentrog, H.W., Nørremark, M., Nielsen, H., Blackmore, B.S., Seed mapping of sugar beet. Precision Agriculture 6 (2005), 157–165.
10. Midtiby, H.S., Giselsson, T.M., Jørgensen, R.N., Estimating the plant stem emerging points (PSEPs) of sugar beets at early growth stages. Biosystems Engineering 111 (2012), 83–90.
11. Nørremark, M., Methods and instrumentation for automated physical weed control within crop rows. (Ph.D. thesis), 2009, University of Copenhagen, Denmark.
12. Nørremark, M., Søgaard, H., Griepentrog, H., Nielsen, H., Instrumentation and method for high accuracy geo-referencing of sugar beet plants. Computers and Electronics in Agriculture 56 (2007), 130–146.
13. Onyango, C.M., Marchant, J.A., Segmentation of row crop plants from weeds using colour and morphology. Computers and Electronics in Agriculture 39 (2003), 141–155.
14. Ross, T.D., Accurate confidence intervals for binomial proportion and Poisson rate estimation. Computers in Biology and Medicine 33 (2003), 509–531.
15. Slaughter, D.C., Giles, D., Downey, D., Autonomous robotic weed control systems: a review. Computers and Electronics in Agriculture 61 (2008), 63–78.
16. Søgaard, H., Weed classification by active shape models. Biosystems Engineering 91 (2005), 271–281.
17. Tillett, N., A field assessment of a potential method for weed and crop mapping on the basis of crop planting geometry. Computers and Electronics in Agriculture 32 (2001), 229–246.
18. Weis, M., Gerhards, R., Detection of weeds using image processing and clustering. Bornimer Agrartechnische Berichte 69 (2008), 138–144.
19. Weis, M., Sökefeld, M., Detection and identification of weeds. Oerke, E.C., Gerhards, R., Menz, G., Sikora, R.A., (eds.) Precision crop protection – The challenge and use of heterogeneity, 2010, Springer, Netherlands, 119–134.
20. Zwiggelaar, R., A review of spectral properties of plants and their potential use for crop/weed discrimination in row-crops. Crop Protection 17 (1998), 189–206.