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Assessing biomass yield of kale (Brassica oleracea var. acephala L.) fields using multi-spectral aerial photography

Research Archive

Show simple item record Fourie, Jaco en Werner, Armin en Dagorn, N. en
dc.contributor.editor Currie, L. D. en
dc.contributor.editor Burkitt, L. L. en 2017-10-12T02:23:25Z 2015-02 en
dc.identifier.citation Fourie, J., Werner, A., & Dagorn, N. ( 2015). Assessing biomass yield of kale (Brassica oleracea var. acephala L.) fields using multi-spectral aerial photography. In L.D. Currie and L.L Burkitt (Eds.), Moving farm systems to improved attenuation: Occasional Report No. 28. Fertilizer and Lime Research Centre, Massey University, Palmerston North, New Zealand. Retrieved from en
dc.identifier.issn 0112-9902 en
dc.description.abstract Aerial images were taken in June 2014 with a multispectral VIS/NIR camera of the canopy from 14 kale (Brassica oleracea var. acephala L.) fields in Canterbury, New Zealand before this forage was grazed by cows. Images were taken at 716m and at 1,372m flying altitude. Calculating the Green Normalised Difference Vegetation Index (GNDVI) from green and NIR channels proved to be the best representation of yield (dry matter) variation from manual biomass cuts in these fields. Several hundreds of individual images covering parts of the fields were semi-automatically stitched to composite images covering full blocks of fields. Highest coefficients of variation (CV) of GNDVI values in a field are linked with low yield averages, often found at vary patchy fields (CVs of 20%). High yielding fields were less patchy and had CVs of less than 8%. A non-linear calibration curve was derived from the presented data. This functional relationship can explain 70% of the variance of the measured biomass yield data with reflection data of the canopy from these fields. This explaining power does not change when data from aerial images from higher altitudes were analysed. This independency of the preliminary model from height will allow using such an approach with standard high resolution cameras from various platforms (e.g. conventional aircraft, UAV/RPAS). Grouping the GNDVI data also allows delineating zones of similar yield levels within the forage fields. Such zoning enables farmers to adapt fertilizer application to the yield expectation of such zones or to manage the feed provision for their grazing cows in a spatial variable way across and between fields. The zones can be used for directing the manual sampling of biomass in cases when farmers deem estimations of biomass yield from aerial imagery to be inaccurate. For all these steps higher resolutions - associated with lower flying altitudes - are necessary. en
dc.format.extent 9 en
dc.language.iso en en
dc.publisher Fertilizer and Lime Research Centre en
dc.relation The original publication is available from - Fertilizer and Lime Research Centre - en
dc.rights © The Authors & FLRC. en
dc.source 28th Annual FLRC Workshop: Moving Farm Systems to Improved Attenuation en
dc.subject multi-spectral aerial photography en
dc.subject kale en
dc.subject GNDVI en
dc.subject biomass yield data en
dc.title Assessing biomass yield of kale (Brassica oleracea var. acephala L.) fields using multi-spectral aerial photography en
dc.type Conference Contribution - Published
lu.contributor.unit Lincoln University en
lu.contributor.unit Lincoln Agritech en
lu.contributor.unit Research Management Office en
lu.contributor.unit /LU/Research Management Office/2018 PBRF Staff group en
dc.subject.anzsrc 0703 Crop and Pasture Production en
dc.subject.anzsrc 079902 Fertilisers and Agrochemicals (Incl. Application) en
dc.relation.isPartOf Moving farm systems to improved attenuation. Occasional Report No. 28 en
pubs.finish-date 2015-02-12 en
pubs.notes en
pubs.organisational-group /LU
pubs.organisational-group /LU/Lincoln Agritech
pubs.organisational-group /LU/Research Management Office
pubs.organisational-group /LU/Research Management Office/2018 PBRF Staff group
pubs.publication-status Published en
pubs.publisher-url en
pubs.start-date 2015-02-10 en Massey University en
dc.identifier.eissn 2230-3944 en
lu.identifier.orcid 0000-0002-7734-8262
lu.identifier.orcid 0000-0002-0039-8202
lu.subtype Conference Paper en

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