Recent machine learning based approaches for disease detection and classification of agricultural products

Proceedings - 2nd International Conference on Computing, Communication, Control and Automation, ICCUBEA 2016

Volumn , Issue , 2017, Pages

  Tripathi, Mukesh Kumar ^a   Maktedar, Dhananjay D ^b  

^a D Y PATIL COLLEGE OF ENGINEERING   (India)

^b Guru Nanak Dev Engineering College Bidar   (India)

Author keywords

Agricultural product disease detection; Agricultural science; Classification; Image processing

Indexed keywords

AGRICULTURAL MACHINERY; AGRICULTURAL PRODUCTS; AGRICULTURE; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); FRUITS; IMAGE CLASSIFICATION; LEARNING SYSTEMS; PROCESSING; VEGETABLES;

AGRICULTURAL SCIENCE; AGRICULTURE PRODUCTS; CLASSIFICATION TECHNIQUE; COMPARATIVE STUDIES; DISEASE DETECTION; FRUITS AND VEGETABLES; IMAGE PROCESSING - METHODS; TRADITIONAL APPROACHES;

IMAGE PROCESSING;

EID: 85016203027     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCUBEA.2016.7860043     Document Type: Conference Paper

References (16)

1. Husin, Zulkifli Bin, et al., "Feasibility study on plant chili disease detection using image processing techniques", Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on. IEEE, 2012.
2. Rocha, Anderson, et al., "Automatic fruit and vegetable classification from images", Computers and Electronics in Agriculture 70.1 (2010): 96- 104.
3. K. R. Gavhale, U. Gawande and K. O. Hajari, "Unhealthy region of citrus leaf detection using image processing techniques", Convergence of Technology (I2CT), 2014 International Conference for, Pune, 2014, pp. 1-6.
4. E. Borges, A. Matos, J. Cardoso, C. Correia, T. Vasconcelos and N. Gomes, "Early detection and monitoring of plant diseases by Bioelectric Impedance Spectroscopy", Bioengineering (ENBENG), 2012 IEEE 2nd Portuguese Meeting in, Coimbra, 2012, pp. 1-4.
5. A. Awate, D. Deshmankar, G. Amrutkar, U. Bagul and S. Sonavane, "Fruit disease detection using color, texture analysis and ANN", Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on, Noida, 2015, pp. 970-975.
6. M. Jhuria, A. Kumar and R. Borse, "Image processing for smart farming: Detection of disease and fruit grading", Image Information Processing (ICIIP), 2013 IEEE Second International Conference on, Shimla, 2013, pp. 521-526.
7. S. R. Dubey and A. S. Jalal, "Detection and Classification of Apple Fruit Diseases Using Complete Local Binary Patterns", Computer and Communication Technology (ICCCT), 2012 Third International Conference on, Allahabad, 2012, pp. 346-351.
8. Y. Dandawate and R. Kokare, "An automated approach for classification of plant diseases towards development of futuristic Decision Support System in Indian perspective", Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on, Kochi, 2015, pp. 794-799.
9. Al-Hiary, H., et al. "Fast and accurate detection and classification of plant diseases", International Journal of Computer Applications (0975 - 8887), Volume 17- No.1, March 2011.
10. D. Al Bashish, M. Braik and S. Bani-Ahmad, "A framework for detection and classification of plant leaf and stem diseases", Signal and Image Processing (ICSIP), 2010 International Conference on, Chennai, 2010, pp. 113-118.
11. Liangxiu Han, M. S. Haleem and M. Taylor, "A novel computer visionbased approach to automatic detection and severity assessment of crop diseases", Science and Information Conference (SAI), 2015, London, 2015, pp. 638-644.
12. N. Schor; A. Bechar; T. Ignat; A. Dombrovsky; Y. Elad; S. Berman, "Robotic Disease Detection in Greenhouses: Combined Detection of Powdery Mildew and Tomato Spotted Wilt Virus", in IEEE Robotics and Automation Letters, vol.PP, no.99, pp.1-1, 2016.
13. Barot, Zalak R., and Narendrasinh Limbad. "An Approach for Detection and Classification of Fruit Disease: A Survey", International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2013): 6.14.
14. Suresha, M., K. S. Sandeep Kumar, and Shiva Kumar. "Texture features and decision trees based vegetables classification", IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012 1 (2012): 21-26.
15. Khadabadi, Gouri C., et al. "Disease Detection in Vegetables Using Image Processing Techniques: A Review", International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE) ISSN:0976-1353 Volume 14 Issue 2 -APRIL 2015.
16. http://msucares.com/lawn/garden/vegetables/diseases/control.html.