How to Measure Leaf Disease Damage Using Image Analysis in ImageJ
An example of image processing techniques for image-based quantification of leaf disease damage using ImageJ.
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Keywords

Image analysis
Image processing
Imaging
Photography
Disease symptom
Image segmentation

How to Cite

Pride, Lillian, Gary Vallad, and Shinsuke Agehara. 2020. “How to Measure Leaf Disease Damage Using Image Analysis in ImageJ”. EDIS 2020 (5). https://doi.org/10.32473/edis-hs1382-2020.

Abstract

This new 13-page article introduces simple image processing and analysis techniques to quantify leaf disease damage using ImageJ, an open-source image processing program. These techniques are not meant to replace crop scouting or disease diagnosis by a plant diagnostic laboratory, but rather to provide a supplemental tool for making quantitative measurements of leaf disease damage. Similar techniques are also available for plant growth assessment, including plant height, plant width, and canopy cover area. The image processing and analysis techniques introduced in this article are fairly simple to use and thus can be adopted not only by researchers, but also by producers, crop consultants, Extension agents, and students. Written by Lillian Pride, Gary Vallad, and Shinsuke Agehara, and published by the UF/IFAS Horticultural Sciences Department.
https://edis.ifas.ufl.edu/hs1382

https://doi.org/10.32473/edis-hs1382-2020
view on EDIS
PDF-2020

References

Agehara, S. 2020. Simple Imaging Techniques for Plant Growth Assessment. HS1353. Gainesville: University of Florida Institute of Food and Agricultural Sciences. https://edis.ifas.ufl.edu/hs1353. https://doi.org/10.32473/edis-hs1353-2020

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