Discrimination of tomato plants (solanum lycopersicum) grown under anaerobic baffled reactor effluent, nitrified urine concentrate and commercial hydroponic fertilizer regimes using multi-source satellite data

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dc.contributor.authorSibanda, M
dc.contributor.authorMutanga, O
dc.contributor.authorDube, T
dc.date.accessioned2021-06-22T07:16:32Z
dc.date.available2021-06-22T07:16:32Z
dc.date.issued2019
dc.description.abstractWe evaluate the detection and discriminative strength of three different satellite spectral settings, namely, HyspIRI, the forthcoming Landsat 9 and Sentinel 2-MSI, in mapping tomato (Solanum lycopersicum) plants grown under hydroponic system using humanexcreta derived materials (HEDM), namely, anaerobic baffled reactor (ABR) effluent and nitrified urine concentrate (NUC) and commercial hydroponic fertilizer mix (CHFM) as nutrient sources. Partial least squares – discriminant analysis (PLS-DA) and discriminant analysis (DA) were applied to discriminate tomatoes grown under these different nutrient sources. Results of this study showed that spectral settings of HyspIRI sensor can better discriminate tomatoes grown under different fertilizer regimes when compared to Landsat 9 OLI and Sentinel-2 MSI spectral configurations. For instance, based on DA algorithm, HyspIRI exhibited high overall accuracy of 0.99 and a kappa statistic of 0.99 whereas Landsat OLI and Sentinel-2 MSI exhibited over accuracies of 0.94 and 0.95 as well as kappa statistics of 0.79 and 0.85, respectively. Further, the performance of DA was significantly different (α = 0.05) from that of PLS-DA based on the MaNemar tests. Overall, the performance of HyspIRI, Landsat 9 OLI-2 and Sentinel-2 MSI data seem to bring new opportunities for crop monitoring at farm scale.en_US
dc.identifier.citationSibanda, M. et al. (2019). Discrimination of tomato plants (solanum lycopersicum) grown under anaerobic baffled reactor effluent, nitrified urine concentrate and commercial hydroponic fertilizer regimes using multi-source satellite. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(4/W18), 1023–1029. https://doi.org/10.5194/isprs-archives-XLII-4-W18-1023-2019en_US
dc.identifier.issn2194-9050
dc.identifier.urihttps://doi.org/10.5194/isprs-archives-XLII-4-W18-1023-2019
dc.identifier.urihttp://hdl.handle.net/10566/6320
dc.language.isoenen_US
dc.publisherISPRSen_US
dc.subjectHydroponicen_US
dc.subjectVegetation monitoringen_US
dc.subjectCrop productionen_US
dc.subjectLandsat 9 OLIen_US
dc.subjectHyperspectral dataen_US
dc.titleDiscrimination of tomato plants (solanum lycopersicum) grown under anaerobic baffled reactor effluent, nitrified urine concentrate and commercial hydroponic fertilizer regimes using multi-source satellite dataen_US
dc.typeArticleen_US

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