Automated camera-based height and flower detection for wheat and chickpea
Paper
Paper/Presentation Title | Automated camera-based height and flower detection for wheat and chickpea |
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Presentation Type | Paper |
Authors | McCarthy, Alison (Author) and Tscharke, Matthew (Author) |
Journal or Proceedings Title | Proceedings of the 5th International Workshop on Applications of Computer Image Analysis and Spectroscopy in Agriculture (ASABE 2014) |
Year | 2014 |
Place of Publication | St. Joseph, MI. United States |
Conference/Event | 5th International Workshop on Applications of Computer Image Analysis and Spectroscopy in Agriculture (ASABE 2014) |
Event Details | 5th International Workshop on Applications of Computer Image Analysis and Spectroscopy in Agriculture (ASABE 2014) Event Date 12 to end of 13 Jul 2014 Event Location Montreal, Canada |
Abstract | The National Variety Trials (NVT) involve a yearly coordination of 630 grain trials conducted across 250 locations in Australia. At different stages of the crop season Trial Service Providers visually assess the attributes of the grain plants in each trial-plot to evaluate the growth and development of the different grain varieties. This involves manual measurements related to: (i) plant dimensions (height, canopy size); (ii) different stages of growth (seedling, tillering, jointing, boot and flowering); and (iii) germination rate. However, the availability of personnel to perform this monitoring is likely to be constrained to larger research stations. |
Keywords | image analysis; camera; automation; grain crops |
ANZSRC Field of Research 2020 | 300207. Agricultural systems analysis and modelling |
300202. Agricultural land management | |
460306. Image processing | |
Public Notes | This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source. |
Byline Affiliations | National Centre for Engineering in Agriculture |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2xz1/automated-camera-based-height-and-flower-detection-for-wheat-and-chickpea
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