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https://hdl.handle.net/1959.11/14215
Title: | A Comparison of Two Ranging Approaches in an Active, Optical Plant Canopy Sensor | Contributor(s): | Schaefer, Michael T (author); Lamb, David (author); Bradbury, Ronald (author) | Publication Date: | 2014 | Handle Link: | https://hdl.handle.net/1959.11/14215 | Abstract: | Active optical sensors that contain their own modulated light sources are becoming popular for 'sensing' photosynthetically-active biomass in crops and pastures. These sensors detect optical reflectance to derive spectral vegetation indices, such as the normalised difference vegetation index (NDVI), and are subsequently calibrated to measure plant parameters e.g. biomass. However, research has demonstrated the accuracy of the derived measurements can often be improved by including both a spectral index and a corresponding measure of plant height. This paper describes an active, optical sensor that integrates modulated reflectance sensing with the ability to measure (range) the distance between the source and a target surface. Two ranging techniques are evaluated; one based on the inverse square law (ISL) of reflected radiation and another based on a position-sensitive detector (PSD). Both ranging methods proved capable of reliably delineating target distances out to 4.0 m from the source. Over this range, the PSD detector exhibited a distance-invariant RMSE of ± 2.6 cm whilst the ISL method exhibited an almost linear increase in error of ± 25 % of the measured distance to a spectralon target. Application to a vegetative target (Kikuyu grass), demonstrated the ISL ranging method to yield an average RMSE of ± 3.0 cm in the range of 0.60-1.40 m, while the average RMSE of the PSD over a range of 0.50-1.10 m was observed to be ± 10.0 cm. Despite superior accuracy, target reflectance variations may prove problematic in the use of a PSD ranging sensor and requires further investigation. | Publication Type: | Conference Publication | Conference Details: | SAS 2014: IEEE Sensors Applications Symposium, Queenstown, New Zealand, 18th - 20th February, 2014 | Source of Publication: | IEEE Sensors Applications Symposium Proceedings, p. 253-257 | Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | Place of Publication: | Los Alamitos, United States of America | Fields of Research (FoR) 2008: | 020501 Classical and Physical Optics 070104 Agricultural Spatial Analysis and Modelling |
Fields of Research (FoR) 2020: | 510302 Classical and physical optics 300206 Agricultural spatial analysis and modelling |
Socio-Economic Objective (SEO) 2008: | 830406 Sown Pastures (excl. Lucerne) | Socio-Economic Objective (SEO) 2020: | 100505 Sown pastures (excl. lucerne) | Peer Reviewed: | Yes | HERDC Category Description: | E1 Refereed Scholarly Conference Publication | Publisher/associated links: | http://sensorapps.org/sites/default/files/uploads/SAS-2014_web_program_feb-17.pdf |
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Appears in Collections: | Conference Publication School of Science and Technology |
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