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Plant Health Detection and Monitoring

  • Chapter
Hyperspectral Imaging Technology in Food and Agriculture

Part of the book series: Food Engineering Series ((FSES))

Abstract

One of the major applications for hyperspectral imaging is plant health detection and monitoring. In this chapter, various ground-based, airborne and spaceborne sensing systems are described. Different applications are discussed such as detection of plant water status, plant nutrient and disease, insect damage, weeds, fruit quality, number of mature and immature fruit, and fruit maturity status. Some of the major techniques used include equivalent water thickness (EWT) and normalized difference water index (NDWI) for monitoring plant water status; derivative chlorophyll index, natural chlorophyll fluorescence emission, and vegetation indices (VI) for plant nutrient status; and fluorescence, thermography, spectral library, mixture tuned match filtering (MTMF), spectral angle mapping (SAM), and spectral feature fitting (SFF) for plant disease detection. One of the key observations in these applications is that remote sensing could be better applied to assess damages by plant diseases than to detect early disease infections.

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Authors and Affiliations

  1. Agricultural and Biological Engineering, University of Florida, Gainesville, FL, USA

    Won Suk Lee

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  1. Won Suk Lee
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Correspondence to Won Suk Lee .

Editor information

Editors and Affiliations

  1. Agricultural Research Service, U.S. Department of Agriculture, Athens, Georgia, USA

    Bosoon Park

  2. Agricultural Research Service, U.S. Department of Agriculture, East Lansing, Michigan, USA

    Renfu Lu

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Lee, W.S. (2015). Plant Health Detection and Monitoring. In: Park, B., Lu, R. (eds) Hyperspectral Imaging Technology in Food and Agriculture. Food Engineering Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2836-1_11

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