Articles | Volume 13, issue 16
Research article
22 Aug 2016
Research article |  | 22 Aug 2016

A pilot project combining multispectral proximal sensors and digital cameras for monitoring tropical pastures

Rebecca N. Handcock, D. L. Gobbett, Luciano A. González, Greg J. Bishop-Hurley, and Sharon L. McGavin


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (22 Apr 2016) by Enrico Tomelleri
AR by Rebecca Handcock on behalf of the Authors (03 Jun 2016)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (15 Jun 2016) by Enrico Tomelleri
RR by Anonymous Referee #3 (15 Jul 2016)
ED: Publish subject to technical corrections (21 Jul 2016) by Enrico Tomelleri
AR by Rebecca Handcock on behalf of the Authors (29 Jul 2016)  Author's response   Manuscript 
Short summary
Proximal sensors can assist in managing feed in livestock production systems but raw data needs calibration to biophysical values such as biomass and ground cover. Our pilot project monitored tropical pastures for 18 months using digital cameras, multispectral sensors, soil moisture sensors, and field observations. We developed stringent data cleaning rules that are applicable to other sensor projects. Proximal sensors were found to deliver continual and timely pasture data.
Final-revised paper