An automated approach for classification of plant diseases towards development of futuristic Decision Support System in Indian perspective
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[1] Shun'ichi Kaneko,et al. Early Detection and Continuous Quantization of Plant Disease Using Template Matching and Support Vector Machine Algorithms , 2013, 2013 First International Symposium on Computing and Networking.
[2] N. Otsu. A threshold selection method from gray level histograms , 1979 .
[3] Jayme Garcia Arnal Barbedo,et al. Digital image processing techniques for detecting, quantifying and classifying plant diseases. , 2013 .
[4] Vidya Kumbhar,et al. A Comprehensive Study of Application of Decision Support System in Agriculture in Indian Context , 2013 .
[5] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[6] Lin Zhang,et al. Study on the Methods of Detecting Cucumber Downy Mildew Using Hyperspectral Imaging Technology , 2012 .
[7] Murali Krishnan,et al. A novel algorithm for detecting bacterial leaf scorch (BLS) of shade trees using image processing , 2013, 2013 IEEE 11th Malaysia International Conference on Communications (MICC).
[8] H. Gholipourkanani,et al. Use of propofol as an anesthetic and its efficacy on some hematological values of ornamental fish Carassius auratus , 2013, SpringerPlus.
[9] L. Plümer,et al. Robust fitting of fluorescence spectra for pre-symptomatic wheat leaf rust detection with Support Vector Machines , 2011 .
[10] Dilip Kumar Chakrabarti,et al. A brief survey of computerized expert systems for crop protection being used in India , 2008 .
[11] Z. B. Husin,et al. Feasibility Study on Plant Chili Disease Detection Using Image Processing Techniques , 2012, 2012 Third International Conference on Intelligent Systems Modelling and Simulation.
[12] Hugo Franco,et al. Automatic detection of early blight infection on tomato crops using a color based classification strategy , 2014, 2014 XIX Symposium on Image, Signal Processing and Artificial Vision.
[13] Jeremy S. Smith,et al. An image-processing based algorithm to automatically identify plant disease visual symptoms. , 2009 .
[14] S. Christensen,et al. Colour and shape analysis techniques for weed detection in cereal fields , 2000 .
[15] Reza Ehsani,et al. Review: A review of advanced techniques for detecting plant diseases , 2010 .
[16] Jayme Garcia Arnal Barbedo,et al. Digital image processing techniques for detecting, quantifying and classifying plant diseases , 2013, SpringerPlus.
[17] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[18] Monika Jhuria,et al. Image processing for smart farming: Detection of disease and fruit grading , 2013, 2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013).
[19] Malik Braik,et al. Fast and Accurate Detection and Classification of Plant Diseases , 2011 .
[20] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[21] Di Cui,et al. Image processing methods for quantitatively detecting soybean rust from multispectral images , 2010 .
[22] Malik Braik,et al. A framework for detection and classification of plant leaf and stem diseases , 2010, 2010 International Conference on Signal and Image Processing.