Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22271
Title: Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcane
Contributor(s): Robson, Andrew  (author)orcid ; Rahman, Muhammad Moshiur  (author)orcid ; Falzon, Gregory  (author)orcid ; Verma, Niva  (author); Johansen, Kasper (author); Robinson, Nicole (author); Lakshmanan, Prakash (author); Salter, Barry (author); Skocaj, Danielle (author)
Publication Date: 2016
Handle Link: https://hdl.handle.net/1959.11/22271
Abstract: AN ANALYSIS OF time series Landsat imagery acquired over the Bundaberg region between 2010 and 2015 identified variations in annual crop vigour trends, as determined by greenness normalised difference vegetation index (GNDVI). On average, early to mid-April was identified as the crucial period where crops achieved their maximum vigour and as such indicated when single image captures should be acquired for future regional yield forecasting. Additionally, the regional crop GNDVI averaged from Landsat images between February to April, produced a higher coefficient of determination to final yield (R2 = 0.91) than the average crop GNDVI value from a single mid-season SPOT5 image capture (R2 = 0.52). This result indicates that the time series method may be more appropriate for future regional yield forecasting. For improved prediction accuracies at the individual crop level, a univariate model using only crop GNDVI values (SPOT5) and corresponding yield (t/ha) produced a higher prediction accuracy for the 2014 Bundaberg harvest than a multivariate model that included additional historic spectral and crop attribute data. For Condong, a multivariate model improved the prediction accuracy of individual crops harvested in 2014 by 41.8% for one-year-old cane (Y1), and 46.2% for two-year-old cane (Y2). For the non-invasive measure of foliar nitrogen (N%), the specific wavelengths 615 nm, 737 nm and 933 nm (Airborne hyperspectral), and 634 nm, 750 nm and 880 nm (ground based field spectroscopy) were found to be the most significant. These results were supported by satellite imagery (Worldview-2 and Worldview-3) acquired over three replicated field trials in Mackay (2014 and 2015) and Tully (2015), where the vegetation index (VI) REN2NDVIWV, a ratio of the rededge band (705-745 nm) and the Near-IR2 band (860-1040 nm), produced a higher correlation to nitrogen concentration (%) than NDVI.
Publication Type: Conference Publication
Conference Name: 38th Annual Conference Australian Society of Sugarcane Technologies (ASSCT), Mackay, Australia, 27th - 29th April, 2016
Source of Publication: Proceedings of the 38th Annual Conference of the Australian Society of Sugar Cane Technologists, v.38, p. 89-100
Publisher: Australian Society of Sugar Cane Technologists
Place of Publication: Australia
Field of Research (FOR): 050209 Natural Resource Management
070101 Agricultural Land Management
070104 Agricultural Spatial Analysis and Modelling
Socio-Economic Outcome Codes: 970110 Expanding Knowledge in Technology
820304 Sugar
970107 Expanding Knowledge in the Agricultural and Veterinary Sciences
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: https://www.assct.com.au/assct_main.php?page_id=270
Series Name: Australian Society of Sugar Cane Technologists. Proceedings
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Appears in Collections:Conference Publication
School of Humanities, Arts and Social Sciences
School of Science and Technology

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