Image Analysis for Measuring Disease Symptom to Bacterial Soft Rot in Potato
Author:
Publisher
Springer Science and Business Media LLC
Subject
Agronomy and Crop Science,Plant Science
Link
http://link.springer.com/content/pdf/10.1007/s12230-019-09717-8.pdf
Reference22 articles.
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2. Barbedo, J.G. 2014. An automatic method to detect and measure leaf disease symptoms using digital image processing. Plant Disease 98: 1709–1716.
3. Bock, C.H., G.H. Poole, P.E. Parker, and T.R. Gottwald. 2010. Plant disease severity estimated visually, by digital photography and image analysis, and by hyperspectral imaging. Critical Reviews in Plant Sciences 29: 59–107.
4. Chung, Y.S., C. Kim, and S. Jansky. 2017. New source of bacterial soft rot resistance in wild potato (Solanum chacoense) tubers. Genetic Resources and Crop Evolution 64: 1963–1969.
5. Czajkowski, R., M.C. Pérombelon, S. Jafra, E. Lojkowska, M. Potrykus, J.M. Van Der Wolf, and W. Sledz. 2015. Detection, identification and differentiation of Pectobacterium and Dickeya species causing potato blackleg and tuber soft rot: A review. Annals of Applied Biology 166: 18–38.
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