Curved and straight crop row detection by accumulation of green pixels from images in maize fields-Reference-Cited by-同舟云学术

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Curved and straight crop row detection by accumulation of green pixels from images in maize fields

Published:2017-01-03 Issue:1 Volume:19 Page:18-41
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

García-Santillán Iván,Guerrero José Miguel,Montalvo Martín,Pajares Gonzalo

Funder

Universidad Politécnica Estatal del Carchi-Ecuador

Seventh Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Link

http://link.springer.com/article/10.1007/s11119-016-9494-1/fulltext.html

Reference50 articles.

1. Astrand, B., & Baerveldt, A. J. (2005). A vision based row-following system for agricultural field machinery. Mechatronics, 15(2), 251–269.

2. Bakker, T., van Asselt, K., Bontsema, J., Muller, J., & van Straten, G. (2011). Autonomous navigation using a robot platform in a sugar beet field. Biosystems Engineering, 109(4), 357–368.

3. Bakker, T., Wouters, H., van Asselt, K., Bontsema, J., Tang, L., Müller, J., et al. (2008). A vision based row detection system for sugar beet. Computers and Electronics in Agriculture, 60, 87–95.

4. Billingsley, J., & Schoenfisch, M. (1997). The successful development of a vision guidance system for agriculture. Computers and Electronics in Agriculture, 16(2), 147–163.

5. Bossu, J., Gée, Ch., Jones, G., & Truchetet, F. (2009). Wavelet transform to discriminate between crop and weed in perspective agronomic images. Computers and Electronics in Agriculture, 65, 133–143.

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