Ultrasonic Arrays for Remote Sensing of Pasture Biomass

The profitability of agricultural industries that utilise pasture can be strongly affected by the ability to accurately measure pasture biomass. Pasture height measurement is one technique that has been used to estimate pasture biomass. However, pasture height measurement errors can occur if the sen...

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Main Authors: Mathew Legg, Stuart Bradley
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/1/111
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spelling doaj-5719bc1f51cb41528aaacfdeae86e63b2020-11-25T01:54:14ZengMDPI AGRemote Sensing2072-42922019-12-0112111110.3390/rs12010111rs12010111Ultrasonic Arrays for Remote Sensing of Pasture BiomassMathew Legg0Stuart Bradley1Department of Mechanical and Electrical Engineering, Massey University, 229 Dairy Flat Highway, Auckland 0632, New ZealandInverse Acoustics Ltd., 2 Rata Street, Auckland 0600, New ZealandThe profitability of agricultural industries that utilise pasture can be strongly affected by the ability to accurately measure pasture biomass. Pasture height measurement is one technique that has been used to estimate pasture biomass. However, pasture height measurement errors can occur if the sensor is mounted to a farm vehicle that experiences tilting or bouncing. This work describes the development of novel low ultrasonic frequency arrays for pasture biomass estimation. Rather than just measuring the distance to the top of the pasture, as previous ultrasonic studies have done, this hardware is designed to also allow ultrasonic measurements to be made vertically through the pasture to the ground. The hardware was mounted to a farm bike driving over pasture at speeds of up to 20 km/h. The analysed results show the ability of the hardware to measure the ground location through the grass. This allowed pasture height measurement to be independent of tilting and bouncing of the farm vehicle, leading to 20 to 25% improvement in the <inline-formula> <math display="inline"> <semantics> <msup> <mi>R</mi> <mn>2</mn> </msup> </semantics> </math> </inline-formula> value obtained for biomass estimation compared with the traditional technique. This corresponded to a reduction in root mean squared error of predicted biomass from about 350 to 270 kg/ha, where the average biomass of the pasture was 1915 kg/ha.https://www.mdpi.com/2072-4292/12/1/111pasture biomassultrasonic sensingtransducermicrophonearray
collection DOAJ
language English
format Article
sources DOAJ
author Mathew Legg
Stuart Bradley
spellingShingle Mathew Legg
Stuart Bradley
Ultrasonic Arrays for Remote Sensing of Pasture Biomass
Remote Sensing
pasture biomass
ultrasonic sensing
transducer
microphone
array
author_facet Mathew Legg
Stuart Bradley
author_sort Mathew Legg
title Ultrasonic Arrays for Remote Sensing of Pasture Biomass
title_short Ultrasonic Arrays for Remote Sensing of Pasture Biomass
title_full Ultrasonic Arrays for Remote Sensing of Pasture Biomass
title_fullStr Ultrasonic Arrays for Remote Sensing of Pasture Biomass
title_full_unstemmed Ultrasonic Arrays for Remote Sensing of Pasture Biomass
title_sort ultrasonic arrays for remote sensing of pasture biomass
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2019-12-01
description The profitability of agricultural industries that utilise pasture can be strongly affected by the ability to accurately measure pasture biomass. Pasture height measurement is one technique that has been used to estimate pasture biomass. However, pasture height measurement errors can occur if the sensor is mounted to a farm vehicle that experiences tilting or bouncing. This work describes the development of novel low ultrasonic frequency arrays for pasture biomass estimation. Rather than just measuring the distance to the top of the pasture, as previous ultrasonic studies have done, this hardware is designed to also allow ultrasonic measurements to be made vertically through the pasture to the ground. The hardware was mounted to a farm bike driving over pasture at speeds of up to 20 km/h. The analysed results show the ability of the hardware to measure the ground location through the grass. This allowed pasture height measurement to be independent of tilting and bouncing of the farm vehicle, leading to 20 to 25% improvement in the <inline-formula> <math display="inline"> <semantics> <msup> <mi>R</mi> <mn>2</mn> </msup> </semantics> </math> </inline-formula> value obtained for biomass estimation compared with the traditional technique. This corresponded to a reduction in root mean squared error of predicted biomass from about 350 to 270 kg/ha, where the average biomass of the pasture was 1915 kg/ha.
topic pasture biomass
ultrasonic sensing
transducer
microphone
array
url https://www.mdpi.com/2072-4292/12/1/111
work_keys_str_mv AT mathewlegg ultrasonicarraysforremotesensingofpasturebiomass
AT stuartbradley ultrasonicarraysforremotesensingofpasturebiomass
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