Quantifying citrus tree health using true color UAV images

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dc.creatorGarza, Blanca N.
dc.creatorAncona, Veronica
dc.creatorEnciso, Juan
dc.creatorPerotto-Baldivieso, Humberto L.
dc.creatorKunta, Madhurababu
dc.creatorSimpson, Catherine (TTU)
dc.date.accessioned2023-03-30T20:29:12Z
dc.date.available2023-03-30T20:29:12Z
dc.date.issued2020
dc.description© 2020. cc-by
dc.description.abstractHuanglongbing (HLB) and Phytophthora foot and root rot are diseases that affect citrus production and profitability. The symptoms and physiological changes associated with these diseases are diagnosed through expensive and time-consuming field measurements. Unmanned aerial vehicles (UAVs) using red/green/blue (RGB, true color) imaging, may be an economic alternative to diagnose diseases. A methodology using a UAV with a RGB camera was developed to assess citrus health. The UAV was flown in April 2018 on a grapefruit field infected with HLB and foot rot. Ten trees were selected for each of the following disease classifications: (HLB-, foot rot-), (HLB+, foot rot-), (HLB-, foot rot+) (HLB+, foot rot+). Triangular greenness index (TGI) images were correlated with field measurements such as tree nutritional status, leaf area, SPAD (leaf greenness), foot rot disease severity and HLB. It was found that 61% of the TGI differences could be explained by Na, Fe, foot rot, Ca, and K. This study shows that diseased citrus trees can be monitored using UAVs equipped with RGB cameras, and that TGI can be used to explain subtle differences in tree health caused by multiple diseases.
dc.identifier.citationGarza, B.N., Ancona, V., Enciso, J., Perotto-Baldivieso, H.L., Kunta, M., & Simpson, C.. 2020. Quantifying citrus tree health using true color UAV images. Remote Sensing, 12(1). https://doi.org/10.3390/rs12010170
dc.identifier.urihttps://doi.org/10.3390/rs12010170
dc.identifier.urihttps://hdl.handle.net/2346/92174
dc.language.isoeng
dc.subjectCitrus
dc.subjectHLB
dc.subjectPhytophthora
dc.subjectRGB bands
dc.subjectTGI
dc.subjectUAVs
dc.titleQuantifying citrus tree health using true color UAV images
dc.typeArticle

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