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Tytuł pozycji:

Micro-sonic sensor technology enables enhanced grass height measurement by a Rising Plate Meter

Tytuł:
Micro-sonic sensor technology enables enhanced grass height measurement by a Rising Plate Meter
Autorzy:
D. McSweeney
N.E. Coughlan
R.N. Cuthbert
P. Halton
S. Ivanov
Temat:
Agriculture (General)
S1-972
Information technology
T58.5-58.64
Źródło:
Information Processing in Agriculture, Vol 6, Iss 2, Pp 279-284 (2019)
Wydawca:
Elsevier, 2019.
Rok publikacji:
2019
Kolekcja:
LCC:Agriculture (General)
LCC:Information technology
Typ dokumentu:
article
Opis pliku:
electronic resource
Język:
English
ISSN:
2214-3173
Relacje:
http://www.sciencedirect.com/science/article/pii/S2214317318302373; https://doaj.org/toc/2214-3173
DOI:
10.1016/j.inpa.2018.08.009
Dostęp URL:
https://doaj.org/article/0e6586c868c74206a575f8e619cc583e  Link otwiera się w nowym oknie
Numer akcesji:
edsdoj.0e6586c868c74206a575f8e619cc583e
Czasopismo naukowe
Globally, the Rising Plate Meter (RPM) is a device used to measure compressed sward height, to enable estimation of herbage mass. Despite improved farm management practices aided by a variety of technological advances, the standard design of a RPM has remained relatively unchanged. Recently, however, a RPM utilising a micro-sonic sensor, with digital data capture capability via a Bluetooth communications link to a smart device application, has been developed. Here, we assess the comparable ability of both a standard cumulative ratchet counter RPM and the micro-sonic sensor RPM, to accurately and precisely measure fixed heights. Moreover, as correct allocation of grazing area requires accurate geolocation positioning, we assess the associated GPS technology. The micro-sonic sensor RPM was significantly more accurate for height capture than the cumulative ratchet counter RPM. Overall, across all heights, the cumulative ratchet counter RPM underestimated height by 7.68 ± 0.06 mm (mean ± SE). Alternatively, the micro-sonic sensor RPM overestimated height by 0.18 ± 0.08 mm. In relation to a practical applications, these discrepancies can result in an under- and overestimation of dry matter yield by 13.71% and 0.32% kilograms per hectare, respectively. The performance of the on-board GPS did not significantly differ from that of a tertiary device. Overall, the wireless technology, integrated mapping, and decision support tools offered by the innovative micro-sonic sensor RPM provides for a highly efficacious grassland management tool. Keywords: Decision support systems, Dry matter yield, Grassland, Rising plate meter, Precision agriculture, Wireless sensor network

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