Precision harrowing with a flexible tine harrow and an ultrasonic Sensor

Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015

Volumn , Issue , 2015, Pages 579-586

  Peteinatos, G G ^a   Rueda Ayala, V ^b   Gerhards, R ^a   Andujar, D ^a  

^a UNIVERSITY OF HOHENHEIM   (Germany)

^b Prometeo Scientist Ciencia   (Ecuador)

Author keywords

Selectivity; Site specific harrowing; Soil covering

Indexed keywords

AGRICULTURAL MACHINERY; CATALYST SELECTIVITY; CROPS; DECISION MAKING; PRECISION AGRICULTURE; ULTRASONIC APPLICATIONS;

AUTOMATIC ADJUSTMENT; CROP DEVELOPMENT; HERBICIDE APPLICATION; INTENSITY LEVELS; SENSOR MEASUREMENTS; SITE-SPECIFIC; SOIL COVERINGS; TIME CONSTRAINTS;

WEED CONTROL;

EID: 84947235155     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3920/978-90-8686-814-8_72     Document Type: Conference Paper

References (14)

1. Andujar D.; Escola A.; Dorado J.; Fernandez-Quintanilla C. 2011. Weed discrimination using ultrasonic sensors. Weed Research. 51(6): 543-547.
2. Andujar D.; Weis M.; Gerhards R. 2012. An Ultrasonic System for Weed Detection in Cereal Crops. Sensors 12(12): 17343-17357.
3. Engelke, B. 2001. Entwicklung eines Steuersystems in der ganzflachig mechanischen Unkrautbekampfung (Development of a self-adjusting system for broadcast mechanical weed control). Dissertation, Institut fur Landwirtschaftliche Verfahrenstechnik, der Christian-Albrechts-Universitat zu Kiel, Gottingen, Germany.
4. Gerhards R.; Christensen S. 2003. Real-time weed detection, decision making and patch spraying in maize, sugar beet, winter wheat and winter barley. Weed Research. 43(6): 385-392.
5. Kurstjens, D.; Kropff, M. 2001. The impact of uprooting and soil-covering on the effectiveness of weed harrowing. Weed Research, 41, 211-228.
6. Kropff M. J.; Walter H. 2000. EWRS and the challenges for weed research at the start of a new millennium. Weed Research 40(1): 7-10.
7. Rasmussen, J.; Bibby, B.; Schou, A. 2008. Investigating the selectivity of weed harrowing with new methods. Weed Research, 48, 523-532.
8. Rueda-Ayala V. P. 2012. Development of an automated sensor based system for weed harrowing in cereals. Ph.D. thesis, Institute for Phytomedicine, Department of Weed Science, University of Hohenheim, Stuttgart, Germany.
9. Rueda-Ayala, V.P.; Rasmussen, J.; Gerhards, R. 2010. Mechanical Weed Control. In: Oerke, E.C.; Gerhards, R.; Menz, G.; Sikora, R.A., (Eds.) Precision Crop Protection - the Challenge and Use of Heterogeneity;; Springer Netherlands, pp. 279-294.
10. Rueda-Ayala, V.; Weis, M.; Keller, M.; Andujar, D.; Gerhards, R. 2013. Development and Testing of a Decision Making Based Method to Adjust Automatically the Harrowing Intensity. Sensors 13(5): 6254-6271.
11. Storrie A.; Walker S. 1999. Coping with the threat of herbicide resistance in weeds. In: Proceedings 2nd National Conservation Farming and Minimum Tillage Conference, Toowoomba, Australia, pp. 71-74.
12. Sogaard, H.T. 1998. Automatic Control of a Finger Weeder with Respect to the Harrowing Intensity at Varying Soil Structures. Journal of Agricultural Engineering Research 70, 157-163.
13. Yang, C.C.; Prasher, S.O.; Landry, J.A.; Ramaswamy, H.S. 2003. Development of a herbicide application map using artificial neural networks and fuzzy logic. Agricultural Systems 76, 561-574.
14. Zadoks, C.; Chang, T.; Konzak, F. 1974. A decimal code for the growth stages of cereals. Weed Research, 14(6): 415-421.