Abstract
Plant geometrical parameters such as internode length (i.e. the distance between successive branches on the main stem) indicate water stress in cotton. This paper describes a machine vision system that has been designed to measure internode length for the purpose of determining real-time cotton plant irrigation requirement. The imaging system features an enclosure which continuously traverses the crop canopy and forces the flexible upper main stem of individual plants against a glass panel at the front of the enclosure, hence allowing images of the plant to be captured in a fixed object plane. Subsequent image processing of selected video sequences enabled detection of the main stem in 88% of frames. However, node detection was subject to a high false detection rate due to leaf edges present in the images. Manual identification of nodes in the acquired imagery enabled measurement of internode lengths with 3% standard error.
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© 2008 Springer-Verlag Berlin Heidelberg
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McCarthy, C., Hancock, N., Raine, S. (2008). On-the-go Machine Vision Sensing of Cotton Plant Geometric Parameters: First Results. In: Billingsley, J., Bradbeer, R. (eds) Mechatronics and Machine Vision in Practice. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74027-8_26
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DOI: https://doi.org/10.1007/978-3-540-74027-8_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74026-1
Online ISBN: 978-3-540-74027-8
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