Skip to main content Accessibility help
×
Home
Hostname: page-component-78bd46657c-6x4lw Total loading time: 0.207 Render date: 2021-05-08T17:20:45.284Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "metricsAbstractViews": false, "figures": false, "newCiteModal": false, "newCitedByModal": true }

On using the precise sensor

Published online by Cambridge University Press:  01 June 2017

E. Pérez-Fernández
Affiliation:
The James Hutton Institute, Craigiebuckler, Aberdeen, AB158QH, Scotland
M. J. Aitkenhead
Affiliation:
The James Hutton Institute, Craigiebuckler, Aberdeen, AB158QH, Scotland
C. A. Shand
Affiliation:
The James Hutton Institute, Craigiebuckler, Aberdeen, AB158QH, Scotland
A. H. J. Robertson
Affiliation:
The James Hutton Institute, Craigiebuckler, Aberdeen, AB158QH, Scotland
Corresponding
Get access

Abstract

In precision agriculture, the selection and use of appropriate sensors determine the type and quality of information that will feed decision-support models. A wide variety of sensors, spectral ranges, data collection and processing approaches are used, sometimes leading to confusion. Whether in transmission or reflectance mode, multispectral or hyperspectral, laboratory or field-based or even satellite-borne, in order to achieve meaningful and accurate measurements it is essential to have a clear understanding of which part of the electromagnetic spectrum the sensors relate to and how the corresponding radiation interacts with the substrate (e.g. soils, crops, livestock products). Sensors in the visible range (390-700 nm) use colour to identify certain properties of the substrate (e.g. chlorophyll and pigments in crops, organic matter contents in soil) and can be used to detect and quantify colour changes that could, in turn, be correlated with changes in those properties. Alternatively, radiation in the near (NIR, 750-2500 nm) and mid infrared (MIR, 2500-25 000 nm) interacts with the molecular bonds that constitute organic and inorganic matter and, therefore, sensors with detectors in these ranges provide different but interrelated information on the chemical composition of the substrate. Shorter wavelength radiation in the form of X-Rays (0.1-10 nm) induces fluorescence in the substrate and XRF sensors provide elemental atomic information that is highly applicable to the study of soils, sediments and fluids. At the James Hutton Institute, we have expertise in the use of all these types of sensors and are developing practical applications based on a thorough understanding of the processes involved. In this paper we provide an overview of the capabilities and applications of the different sensors used in precision agriculture, not only with a theoretical understanding, but also with an awareness of the practicalities involved.

Type
Crop Sensors and Sensing
Copyright
© The Animal Consortium 2017 

Access options

Get access to the full version of this content by using one of the access options below.

References

Aitkenhead, MJ, Donnelly, D, Sutherland, L, Miller, DG, Coull, MC and Black, HIJ 2015. Predicting Scottish topsoil organic matter content from colour and environmental factors. European Journal of Soil Science 66, 112120.CrossRefGoogle Scholar
Aitkenhead, MJ, Donnelly, D, Coull, M and Black, H 2013. E-SMART: Environmental Sensing for Monitoring and Advising in Real-Time. IFIP Advances in Information and Communication Technology 413, 129142.CrossRefGoogle Scholar
Aitkenhead, MJ, Coull, MC, Towers, W, Hudson, G and Black, HIJ 2012. Predicting soil chemical composition and other soil parameters from field observations using a neural network. Computers and Electronics in Agriculture 82, 108116.CrossRefGoogle Scholar
Barron, V and Torrent, J 1986. Use of the Kubelka-Munk theory to study the influence of iron oxides on soil colour. Journal of Soil Science 37 (4), 499510.CrossRefGoogle Scholar
Bueno Guerra, MB, de Almeida, E, Carvalho, GGA, Souza, PF, Nunes, LC and Krug, FJ 2014. Comparison of analytical performance of benchtop and handheld energy dispersive X-ray fluorescence systems for the direct analysis of plant materials. Journal Analytical Atomic Spectrometry 29, 16671674.CrossRefGoogle Scholar
Galvão, LS and Vitorello, I 1998. Role of organic matter in obliterating the effects of iron on spectral reflectance and colour of Brazilian tropical soils. International Journal of Remote Sensing 19 (10), 19691979.CrossRefGoogle Scholar
Klockenkamper, R and von Bohlen, A 2015. Total-Relection X-Ray Fluorescence Analysis and Related Methods. Wiley, Hoboken, NJ, USA.Google Scholar
Nocita, M, Stevens, A, Wesemael, B, van, Aitkenhead, M, Bachmann, M, Barthes, B et. al., 2015. Soil spectroscopy: an alternative to wet chemistry for soil monitoring. Advances in Agronomy 132, 139159.CrossRefGoogle Scholar
Pérez-Fernández, E and Robertson, AHJ 2016. Global and local calibrations to predict chemical and physical properties of a national spatial dataset of Scottish soils from their near infrared spectra. Journal of Near Infrared Spectroscopy 24 (3), 305316.CrossRefGoogle Scholar
Reidinger, S, Ramsey, MH and Harltey, SE 2012. Rapid and accurate analyses of silicon and phosphorus in plants using a portable X-ray fluorescence spectrometer. The New Phytologist 195 (3), 699706.CrossRefGoogle ScholarPubMed
Robertson, AHJ, Shand, C and Pérez-Fernández, E 2016. The application of Fourier transform infrared, near infrared and X-ray fluorescence spectroscopy to soil analysis. Spectroscopy Europe 28 (4), 913.Google Scholar
Tsumuki, H, Kanehisa, K and Kawada, K 1989. Leaf surface wax as a possible resistance factor of barley to cereal aphids. Applied Entomology and Zoology 24, 295301.Google Scholar
Wold, S 1995. Chemometrics; what do we mean with it, and what do we want from it? Chemometrics and Intelligent Laboratory Systems 30, 109115.Google Scholar

Send article to Kindle

To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

On using the precise sensor
Available formats
×

Send article to Dropbox

To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

On using the precise sensor
Available formats
×

Send article to Google Drive

To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

On using the precise sensor
Available formats
×
×

Reply to: Submit a response


Your details


Conflicting interests

Do you have any conflicting interests? *