Every reference with a DOI in the deposited reference list resolved to a known
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withdrawal, or removal notice.
The 53 checked references that resolve
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resolves10.1186/s13007-017-0233-zHyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
resolves10.1080/07352681003617285Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging
resolves10.1111/ppa.12526Measuring lesion attributes and analysing their spatial patterns at the leaf scale using digital image analysis
resolves10.1186/2193-1801-2-660Digital image processing techniques for detecting, quantifying and classifying plant diseases
resolves10.1016/j.compag.2018.07.032An automated detection and classification of citrus plant diseases using image processing techniques: A review
resolves10.3923/itj.2011.267.275Detection and Classification of Leaf Diseases using K-means-based Segmentation and Neural-networks-based Classification
resolves10.1109/CANDAR.2013.52Early Detection and Continuous Quantization of Plant Disease Using Template Matching and Support Vector Machine Algorithms
resolves10.1101/pdb.prot4982Phenotypic Analysis of <i>Arabidopsis</i> Mutants: Trypan Blue Stain for Fungi, Oomycetes, and Dead Plant Cells
resolves10.1016/S0007-1536(80)80163-XComparison of histological and physiological responses to Phakopsora pachyrhizi in resistant and susceptible soybean
resolves10.3389/fmicb.2015.00107Cell wall staining with Trypan blue enables quantitative analysis of morphological changes in yeast cells
resolves10.3109/10520290903132196Dual trypan-aniline blue fluorescence staining methods for studying fungus-plant interactions
resolves10.1111/ppa.12069Activation of defence responses to
<i>
<scp>P</scp>
hytophthora infestans
</i>
in potato by
<scp>BABA</scp>
The 20 references without a DOI — listed, not checked
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no DOI — not checkedSingh V, Misra AK. Detection of plant leaf diseases using image segmentation and soft computing techniques. Inf Process Agric. 2017;4(1):41–9.
no DOI — not checkedDhygude S, Kumbhar N. Detection and classification of plant leaf diseases using image processing techniques. Int J Adv Res Electric Electron Instrum Eng. 2013;4(8):1777–80.
no DOI — not checkedChaudhary P, Chaudhari AK, Cheeran A, Godara S. Color transform based approach for disease spot detection on plant leaf. Int J Comput Sci Telecommun. 2012;3(6):65–70.
no DOI — not checkedPreethi R, Priyanka S, Priyanka U, Sheela A. Efficient knowledge based system for leaf disease detection and classification. Int J Adv Res Sci Eng. 2015;4:1134–43.
no DOI — not checkedRen YG, Zhang J, Li M, Yuan Y. Segmentation method for crop disease leaf images based on watershed algorithm. J Comput Appl. 2012;32(3):752–5.
no DOI — not checkedHanping M, Yancheng Z, Bo H. Segmentation of crop disease leaf images using fuzzy C-means clustering algorithm. Trans Chin Soc Agric Eng. 2008;24(9):134–40.
no DOI — not checkedSun G, Jia X, Geng T. Plant diseases recognition based on image processing technology. J Electric Comput Eng. 2018;2018:1–7.
no DOI — not checkedArivazhagan S, Shebiah RN, Ananthi S, Varthini SV. Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features. Agric Eng Int CIGR J. 2013;15(1):211–7.
no DOI — not checkedDeepa S, Umarani R. Steganalysis on images using SVM with selected hybrid features of gini index feature selection algorithm. Int J Adv Res Comput Sci. 2017;8(5):1503–9.
no DOI — not checkedWang G, Sun Y, Wang J. Automatic image-based plant disease severity estimation using deep learning. Comput Intell Neurosci. 2017;2017:1–8.
no DOI — not checkedArivazhagan S, Ligi SV. Mango leaf diseases identification using convolutional neural network. Int J Pure Appl Math. 2018;120(6):11067–79.
no DOI — not checkedPang J, Bai ZY, Lai JC, Li SK. Automatic segmentation of crop leaf spot disease images by integrating local threshold and seeded region growing. In: 2011 international conference on image analysis and signal processing. New York: IEEE; 2011. p. 590–4.
no DOI — not checkedAl-Tarawneh MS. An empirical investigation of olive leave spot disease using auto-cropping segmentation and fuzzy C-means classification. World Appl Sci J. 2013;23(9):1207–11.
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no DOI — not checkedCameron P, Whited S. Rawkit. 2018. https://rawkit.readthedocs.io/en/latest/. Visited June 2018.
no DOI — not checkedEster M, Kriegel HP, Sander J, Xu X. A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the 2nd international conference on knowledge discovery and data mining. Portland, OR: AAAI Press; 1996. p. 226–31.
no DOI — not checkedRStudioTeam. Integrated development for R (version 3. 6. 1). RStudio, Inc, Boston, MA 2018. http://www.rstudiocom/Rstudio.
no DOI — not checkedMcDonald JH. Handbook of biological statistics. 3rd ed. Baltimore: Sparky House Publishing; 2014.
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