Modified 3D time-of-flight camera for object separation in organic farming

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 10335, Issue , 2017, Pages

  Knoll, Florian J ^a   Holtorf, Tim ^a   Hussmann, Stephan ^a  

^a West Coast University of Applied Sciences   (Germany)

Author keywords

3D Camera; 3D Sensor; 3D Technology; HSV color room; Kinect II; NDVI vegetation index determination method; organic farming; Plant extraction; RGB color room; Time of Flight (ToF); weed control

Indexed keywords

AGRICULTURE; OPTICAL INSTRUMENTS; SEPARATION; WEED CONTROL;

3-D CAMERAS; 3D SENSOR; 3D TECHNOLOGY; HSV-COLOR ROOM; KINECT II; ORGANIC FARMING; PLANT EXTRACTION; RGB COLORS; TIME OF FLIGHT; VEGETATION INDEX;

CAMERAS;

EID: 85030666319     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2270276     Document Type: Conference Paper

References (22)

1. Gobor, Z., Schulze Lammers, P. "Concept and virtual prototype of a rotary hoe for intra-row weed control in row crops, World Congress: Agricultural Engineering for a Better World. Book of Abstracts, Bonn (Germany), pp. 323-325, 2006.
2. Melander, Bo "Current achievements and future directions of physical weed control in Europe, AFPP 3rd International conference on non-chemical crop protection methods, Proceedings, pp.49-58, 2006.
3. Rueda-Ayala, V., Rasmussen, J., Gerhard, R. "Mechanical Weed Control, in book Precision Crop Protection-the Challenge and Use of Heterogeneity, Springer, pp. 279-294, 2010.
4. van der Weide, R.Y.; Bleeker, P.O.; Achten, V.T.J.M.; Plotz, L.A.; Fogelberg, F. und Melander, B.,Innovation in mechanical weed control in crop rows, Weed Research, 48, S. 215-224, 2008.
5. Nørremark, Michael und Griepentrog, Hans W. "Analysis and Definition of the close-to-crop Area in Relation to Robotic Weeding, 6th Workshop of the EWRS Working Group 'Physical and Cultural Weed Control', Lillehammer, Norway, 8th March 2004.
6. Marx, C., Rath, T., Barcikowski, S.: Methodik zur Untersuchung von Laserlichtwirkung auf der Basis von Bildanalysen auf jevenile Pflanzen zur Unkrautregulierung; Bornimer Agrartechnische Berichte, Heft 73, S.21-31, 2010.
7. Gude, J., Damerow, L., Schulze Lammers, P. "Laser based weed control, Proc. of the 68th International Conference Agricultural Engineering, pp.125-130, 2010.
8. Vrindts, E., De Baerdemaeker, J.,Optical dicrimination of crop, weed and soil for on-line weed detection", in Precision Agriculture 1997, 1st European Conf. on Precision Agriculture, vol. 2, BIOS Scientific Publishers, Warwick University, pp. 537-544, 1997.
9. Biller, R.H., Hollstein, A., Sommer, C.,Precision application of herbicides by use of optoelectronic sensors", in Precision Agriculture 1997, 1st European Conf. on Precision Agriculture, BIOS Scientific Publishers, Warwick University, pp. 451-458, 1997.
10. Dzinaj, T., Kleine Hörstkamp, S., Linz, A., Ruckelshausen, A., Böttger, O., Kemper, M., Marquering, J., Naescher, J., Trautz, D., Wißeroth, E.,Multi-Sensor-System zur Unterscheidung von Nutzpflanzen und Beikraütern", Zeitschrift für Pflanzenkrankheiten und Pflanzenschutz, Sonderheft XVI, 233-242, 1998.
11. Pérez, A.J., López, F., Benlloch, J.V., Christensen S.,Colour and shape analysis techniques for weed detection in cereal fields", Computers and Electronics in Agriculture 25, 197-212, 2000.
12. Gerhards, R., Sökefeld, M., Nabout, A., Therburg, R.-D.,Online weed control using digital image analysis", Zeitschrift für Pflanzenkrankheiten und Pflanzenschutz, Sonderheft XVIII, 421-427, 2002.
13. Yang, C. C., Prasher, S., Landry, J.-A., Ramaswamy, H. "Development of an image Processing system and a fuzzy algorithm for site-specific herbicide applications, Precision Agriculture 4, 5-18, 2003.
14. Sogaard, H.T., Olsen, H. J. "Determination of crop rows by image analysis without segmentation, Computers and Electronics in Agriculture 38, 141-158, 2003.
15. Paulus, S., Behmann, J., Mahlein, AK., Plümer, L., Kuhlmann, H., .,Low-Cost 3D Systems: Suitable Tools for Plant Phenotyping, Sensors 14(2), 3001-3018; doi:10.3390/s140203001, 2014
16. Gai, J., Tang, L., Steward, B., Plant Recognition through the Fusion of 2D and 3D Images for Robotic Weeding, ASABE Annual International Meeting 152181371.(doi:10.13031/aim.20152181371) 2015
17. Xia, C., Hwang, Y., Lee DH., Lee, J., .,Three-dimensional plant leaf mapping and segmentation using kinect camera, Society of Instrument and Control Engineers of Japan (SICE), 2015 54th Annual Conference, 2015.
18. Knoll, F., Holtorf, T., Hußmann, S., "Vegetation index determination method based on color room processing for weed control applications in organic farming", I2MTC 2016, Proc. of the 33th Int. Conf. on Inst., Meas. Tec., IEEE Instrumentation and Measurement Society, 2016, pp. 1024-1029.
19. Knoll, F., Holtorf, T., Hußmann, S., "Investigation of Different Sensor Systems to Classify Plant and Weed in Organic Farming Applications", IEEE SAI Computing Conference 2016, 2016, pp. 343-348.
20. Hußmann, S., Hermanski, A., Edeler, T., "Real-Time Motion Artifact Suppression in TOF Camera Systems", IEEE Trans. on Instrumentation and Measurement, 60(5), 2011, pp. 1682-1690.
21. Hußmann S., Knoll F., Edeler T., "Modulation Method Including Noise Model for Minimizing the Wiggling Error of TOF Cameras", IEEE Trans. on Instrumentation and Measurement, 63(5), 2014, pp. 1127-1136.
22. Hußmann, S., Holtorf, T., Knoll, F., "Investigation of different polar to Cartesian coordinate system conversion methods for ToF-cameras in the close-up range", I2MTC 2015, Proc. of the 32th Int. Conf. on Inst., Meas. Tec., IEEE Instrumentation and Measurement Society, 2015, pp. 1072-1077.