Plant Disease Detection: a Review of Current Trends

  • Authors

    • Mrs. Gaganpreet Kaur
    • Sarvjeet Kaur
    • Amandeep Kaur
    https://doi.org/10.14419/ijet.v7i3.34.19580
  • Image acquisition, Image Preprocessing, Image Segmentation, Feature Extraction, Classification, Biotic and Abiotic factors, Fugal Diseases, Bacterial Diseases and Viral Diseases.

  • Abstract

    Awareness of plant leaf diseases is very salient task in agricultural environment. The prior identification of plant leaf diseases can help to prevent the losses that farmers face due to various plant leaf diseases. The plant leaf diseases in image processing are detected by observing the patterns of leaf images at certain period of time. Observation and identification of leaf diseases is not an easy task to do manually because it requires a lot of time, money, effort etc. So it is better to identify the diseases through an automated system in image processing. There are various image processing techniques available for the detection of plant leaf diseases which consists of some basic steps such as, image acquisition, image pre-processing, image segmentation, feature extraction and image classification. Various types of filtering techniques can be used to de-noise the image so that the diseases can be detected efficiently and clearly because noise creates problems in identification of diseases. This paper presents a survey on various methods used for detection of plant leaf diseases in image processing. Some  segmentation techniques like thresholding, edge based, region based, clustering based and partial differential equation based are discussed.

     

  • References

    1. [1] Vivek Ugale and Deepak Gupta, “A comprehensive survey on agricultural image processing,†International Journal os Science and Research (IJSR), Vol.5, Issue.1, pp-133-135, 2016.

      [2] Ms. Kiran R. Gavhale and Prof. Ujwalla Gawande, “An overview of the research on plant leaves disease detection using image processing techniques,†IOSR Journal of Computer Engineering(IOSR-JCE), Vol.16, Issue.1, pp-10-16, 2014.

      [3] Sachin D. Khirade and A.B. Patil, “Plant disease detection using image processing,†International Conference on Computing Communication Control and Automation, pp. 768-771, 2015.

      [4] Rajneet Kaur and Miss Manjeet Kaur, “ A brief review on plant disease detection using in image processing,†International Journal of Computer Science and Mobile [Computing(IJCSMC), Vol.6 ,Issue 2, pp.101-106, 2017.

      [5] Dixit Ekta Gajanan, Gavit Gayatri Shankar and Gode Vidya Keshav, “Detection of leaf using feature extraction for android based system,†IJSRST, Vol.4, Issue.2, 2018.

      [6] Mrunalini R. Badnakhe and Prashant R. Deshmukh, “Infected leaf analysis and comparison by otsu threshold and k-means clustering,†International Journal of Advanced Research in Computer Science and Software Engineering, Vol.2, Issue.3, pp-449-452, 2012.

      [7] Piyush Chaudhary, Anand K. Chaudhari, Dr. A. N. Cheeran and Sharda Godra, “Color transform based approach for disease spot detection on plant leaf,†International Journal of Computer Science and Telecommunications, Vol.3, Issue.6, pp-65-70, 2012.

      [8] Pooja Kulinavar, Vidya I. Hadimani, “Classification of leaf diseases based on multiclass SVM classifier,†International Journal of Advance Research, Ideas and Innovations in Technology, Vol.3, Issue.4, pp-321-325, 2017.

      [9] Priyanka Thakur, Preeti Aggarwal and mamta Juneja, “Plant disease detection and classification using image processing: A review,†International Journal of Recent Research Aspects, Vol.4, Issue.3, pp-22-27, 2017.

      [10] [Zulkifli Bin Husin, Abdul hallis Bin Abdul Aziz, Ali Yeon Bin Md Shakaff and Rohani Binti S Mohamed Farook, “Feasibility study on plant chili disease detection using image processing techniques,†Third International Conference on Intelligent Systems Modelling and Simulation, IEEE, 2012.

      [11] Arti N. Rathod, Bhavesh Tanawal and Vatsal Shah, “Image processing techniques for detection of leaf disease,†International Journal of Advanced Research in Computer Science and Software Engineering, Vol.3, Issue.11, pp-397-399, 2013.

      [12] Prakash M. Mainkar, Shreekant Ghorpade and Mayur Adawadkar, “Plant leaf disease detection and classification using image processing techniques,†International Journal of Innovative and Emerging Research in Engineering, Vol.2, Issue.4, pp-139-144, 2015.

      [13] V. Ramya and M. Anthuvan Lydia, “Leaf disease detection and classification using neural networks,†International Journal of Advanced Research in Computer and Communication Engineering, Vol.5, Issue.11, pp-207-210, 2016.

      [14] Arpita Patel and Mrs. Barkha Joshi, “A survey on the plant leaf disease detection techniques,†International Journal of Advanced Research in Computer and Communication Engineering, Vol.6, issue.1, pp-229-231, 2017.

      [15] Naik Durgesh Manikrao and Dr. Prof. A.J.Vyavahare, “Disease detection of cotton crop using image processing technique: A survey,†International Journal for Research in Applied Science & Engineering Technology (IJRASET), Vol.3, Issue.6, pp-204-210, 2015.

      [16] Bhumika S.Prajapati, Vipul K.Dabhi and Harshadkumar B.Prajapati, “A survey on detection and classification of cotton leaf diseases,†International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), IEEE, 2016.

      [17] Vishnu S and A. Ranjith Ram, “Plant disease detection using leaf pattern: A review,†International Journal of Innovative Science, Engineering & Technology, Vol.2, Issue.6, pp-774-780, 2015.

      [18] Priya P. and Dony A. D souza, “Study of feature extraction techniques for the detection of diseases of agricultural products,†International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, Vol.3, Issue.1, pp-4-8, 2015.

      [19] Lisha Khadke, Sunil Jadhav, Kalpesh Jadhav, Ashwin Kasbe and Prof. Santwana Gudadhe, “A survey on identification of plant diseases,†International Journal of Engineering Technology Science and Research, Vol.4, Issue.8, pp-1104-1107, 2017.

      [20] Muhammad Thaqif bin MohamadAzmi and Naimah Mat Isa, “Orchid disease detection using image processing and fuzzy logic,†International Conference on Electrical, Electronics and System Engineering, IEEE, 2013.

      [21] Anand.H.Kulkarni and Ashwin Patil R. K. , “Applying image processing technique to detect plant diseases,†International Journal of Modern Engineering Research (IJMER), Vol.2, Issue.5, pp-3661-3664, 2012.

      [22] Chaitali G. Dhaware and Mrs. K.H. Wanjale, “A modern approach for plant leaf disease classification which depends on leaf image processing,†International Conference on Computer Communication and Informatics (ICCCI), IEEE,2017.

      [23] Prabhjeet kaur and Dr. Sanjay Singla, “A review on the plant leaf disease detection techniques,†International Journal of innovations in Engineering and Technology (IJIET), Vol.7, Issue.2, pp-539-543, 2016.

      [24] Ms. Kiran R. Gavhale, Prof. Ujwalla Gawande and Mr. Kamal O. hajari, “Unhealthy region of citrus leaf detection using image processing techniques,†International Conference for Convergence of Technology, IEEE, 2014.

      [25] Pallavi.S.Marathe, “Plant disease detection using digital image processing and GSM,†International Journal of Engineering Science and Computing (IJESC), Vol.7, Issue.4, pp-10513-10515, 2017.

      [26] Khushal Khairnar and Rahul dagade, “Disease detection and diagnosis on plant using image processing-A review,†International Journal of Computer Applications, Vol.108, Issue.13, pp-36-38, 2014.

      [27] Trimi Neha Tete and Sushma Kamlu, “Plant disease detection using different algorithms,†Proceedings of the Second International Conference on Research in Intelligent and Computing in Engineering, Vol.10, pp-103-106, 2017.

      [28] Dilpreet Kaur and Yadwinder Kaur, “ Various image segmentation techniques: A Review,†International Journal of Computer Science and Mobile Computing(IJCSMC), Vol.3, Issue 5, pp.809-814, 2014.

      [29] Patel Jigna. J, “Various segmentation techniques in image processing,†International Journal of Engineering Science and Computing, Vol.7, Issue.6, pp-12781-12783, 2017.

      [30] Song Yuheng ang Yan Hao, “Image segmentation algorithms overview.

      [31] Nida M. Zaitoun and Musbah J. Aqel, “Survey on image segmentation techniques,†Procedia Computer Science, Vol.65, pp-797-806, 2015.

      [32] Lahouaoui Lalaoui, Tayeb Mohamadi and Abdelhak Djaalab, “New method for image segmentation,†Procedia Social and Behavioral Sciences, pp-1971-1980, 2015.

      [33] Varun Gupta, Namita Sengar, Malay Kishore Dutta, Carlos M.Travieso, Jesus B. Alonso, “Automated segmentation of powdery mildew disease from cherry leaves using image processing,†IEEE, 2017.

      [34] Siddharath Singh Chouhan, Ajay Kaul, Uday Pratap Singh and Sanjeev Jain, “Bacterial foraging optimization radial basis function neural network (BRBFNN) for identification and classification of plant leaf diseases: An automatic approach for plant pathology,†IEEE, 2017.

      [35] Bhumilka S.Prajapati, Vipul K.Dabhi and Harshadkumar B.Prajapati, “A survey on detection and classification of cotton leaf diseases,†International Conference on Electrical, Electronics and Otimization Techniques(ICEEOT ) IEEE, 2016.

      [36] Pranjali B. Padol and Prof. Anjali A. Yadav, “SVM Classifier based grape leaf disease detection,†Conference on Advances in Signal Processing (CASP) IEEE, 2016.

      [37] Pawan P.Warne and Dr.S.R.Ganokar, “Detection of diseases of cotton leaves using k-mean clustering method,†International Journal of Engineering and Technology(IJET), Vol.2, Issue. 4, 2015.

      [38] Prof. R. N. kadu, S. Kangane, S. Vikhe, R. Pandita and V. Inamke, “Leaf disease detection using Arm7 and image processing,†International Journal of Engineering Research and Applications (IJERA), Vol.5, Issue.2, pp-68-71, 2015.

      [39] [39] Deepak J. Dange and Prof. M. A. Sayyad, “Computer vision image enhancement and plant leaves disease detection,†International Journal of Modern Trends in Engineering and Research, pp-106-110.

      [40] P.R. Rothe and R. V. Kshirsagar, “A study and implementation of active contour model for feature extraction: with diseased cotton leaf as example,†International Journal of Current Engineering and Technology, Vol.4, Issue.2, pp-812-816, 2014.

      [41] [Eric Hitimana and Oubong Gwun, “Automatic estimarion of live coffee leaf infection based on image processing techniques,†Second International Conference on Signal, Image Processing and Pattern Recognition, Sydney, pp-255-266, 2014.

      [42] Smita Naikwadi and Niket Amoda, “Advances in image processing for detection of plant diseases,†International journal of Application or Innovation in Engineering & Management (IJAIEM), Vol.2, Issue.11, pp-168-175, 2013.

      [43] Faithpraise Fina, Philip Birch, Rupert Young, J. Obu, Bassey Faithpraise and Chris Chatwin, “Automatic plant pest detection and recognition using k-means clustering algorithm and correspondence filters,†International Jornal of Advanced Biotechnology and Research, Vol.4, Issue.2, pp-189-199, 2013.

      [44] Diao Zhihua, Wang Huan, Song Yinmao and Wang Yunpeng, “Image segmentation method for cotton mite disease based on color features and area thrseholding,†Jornal of Theoretical and Applied Information Technology, Vol.48, Issue.1, pp-527-533, 2013.

      [45] R. Yusnita, fariza Norbaya, and Norazwinawati, “Intelligent parking space detection system based on image processing,†International Jornal of Innovation, Management and Technology, Vol.3, issue.3, pp-232-235, 2012.

      [46] S. Phadikar, J. Sil, and A. K. Das, “Classification of rice leaf diseases based on morphological changes,†International Journal of Information and Electronics Engineering, Vol.2, Issue.3, pp-460-463, 2012.

      [47] Gaurav Kumar and Pradeep Kumar Bhatia, “A detailed review of feature extraction in image processing,†Fourth International Conference on Advanced Computing and Communication Technologies IEEE, 2014.

      [48] [48] Abdul Kadir, Lukito Edi Nugroho, Adhi Susanto, and Paulus Insap Santosa, “Leaf classification using shape, color, and texture features,†International Journal of Computer Trends and Technology, pp-225-230, 2011.

      [49] Guili Xu, Fengling Zhang, Syed Ghafoor Shah, Yongqiang Ye, and Hanping Mao, “Use of leaf color images to identify nitrogen and potassium deficient tomatoes,†ELSEVIER, Vol.32, pp-1584-1590, 2011.

      [50] Monzurul Islam, Anh, Dinh, Khan Wahid and Pamkaj Bhowmik, “Detection of potato diseases using image segmentation and multiclass support vector machine,†30th Canadian Conference on Electrical and Computer Engineering(CCECE) IEEE, 2017.

      [51] Nivedita.R.kakade, Dnyaneswar.D.Ahire, “Real time grape leaf diseases detection,†International Journal of Advance Research and Innovative Ideas in Education, Vol.1, pp-598-610, 2015

      [52] Usama Mokhtar, Mona A. S. Ali, Aboul Ella Hassenian, and Hesham Hefny, “Tomato leaves diseases detection approach based on support vector machines,†International Computer Engineering Conference, pp-246-250, 2015.

      [53] Girish Athanikar, and Priti Badar, “Potato leaf diseases detection and classification system,†International Journal of Computer Science and Mobile Computing, Vol.5, pp-76-88, 2016.

      [54] Preetha Rajan, Radhakrishnan. B, and Dr.L. Padma Suresh, “Detection and classification of pests from crop images using support vector machine,†International Conference on Emerging Technological Trends (ICETT), 2016.

      [55] Miss. Amruta Ambatkar, Miss. AshwiniBhandekar, Miss. Avanti Tawale, Miss. Chetna Vairagade, Miss. Ketaki Kotamkar, “Leaf disease detection using image processing,†International Conference on Recent Trends in Engineering Science and Technology (ICRTEST), Vol.5, Issue.1, pp-333-336, 2017.

      [56] Pooja V, Rahul Das and Kanchana V, “Identification of plant leaf diseases using image processing techniques,†IEEE International Conference on Technological Innovations in ICT for Aggriculture and Rural Development (TIAR), pp-130-133, 2017.

      [57] Garima Tripathi and Jagruti Save, “An image processing and neural network based approach for detection and classification of plant leaf diseases,†International Journal of Computer Engineering & Technology (IJCET), Vol.6, Issue.4, pp-14-20, 2015.

      [58] Aakanksha Rastogi, Ritika Arora, Shanu Sharma, “Leaf disease detection and grading using computer vision technology & fuzzy logic,†2nd International Conference on Signal Processing and Integrated Networks, IEEE, 2015.

      [59] Md. Nazrul Islam, M.A. Kashem Mahmuda Akter and Md.Jamilur Rahman, “An approach to evaluate classifiers for automatic disease detection and classification of plant leaf,†International Conference on Electrical, Computer and Telecommunication Engineering, 2012.

      [60] Priya Pradeep Naswale and P.E.Ajmire, “ Image classification techniques-A Survey,†International Journal of Emerging Trends and Technologies in Computer Science(IJETTCS), Vol.5, Issue.2, pp.236-239, 2016.

      [61] Pooja Kamavisdar, Sonam Saluja and Sonu Agrawal, “A survey on image classification approaches and techniques,†International Journal of Advanced Research in Computer and Communication Engineering, Vol.2, Issue.1, pp.1005-1009, 2013.

      [62] Santosh Kumar Sao, and Sandeep B. Patil, “A survey on classification techniques for plant disease detection using image processing,†International Journal for Scientific Research & Development, Vol.3, Issue.4, pp-1122-1125, 2015.

      [63] Bassam AL-Qarallah, Bashar AI-Shboul, Hazem Hiary, Asmaa Aljawawdeh, Hamad Alsawalqah and Monther Tahat, “An image processing approach for cucumber powdery mildew infection detection,†Proceedings of the New Trends in Information Technology(NTIT), 2017.

      [64] Harshal Waghmare, Radha Kokare and Yogesh Dandawate, “Detection and classification of diseases of grape plant using opposite colour local binary pattern feature and machine learning for automated decision support system,†3rd International Conference on Signal Processing and Integrated Networks, IEEE, 2016.

      [65] Amrita.Joshi and B.D Jadahv, “Monitoring and controlling rice diseases using image processing techniques,†International Conference on Computing Analytics and Security Trends(CAST) IEEE, 2016.

      [66] Rajleen Kaur and Dr. Sandeep Singh Kang, “An enhancement in classifier support vector machine to improve plant disease detection,†3rd International Conference on MOOCs, Innovation and Technology on Education IEEE, pp-135-140, 2015.

      [67] Savita N. Ghaiwat and Parul Arora, “Detection and classification of plant leaf diseases using image processing techniques: A review,†International Journal of Recent Advances in Engineering and Technology(IJRAET), Vol.2, Issue.3, 2014.

      [68] Mr. Sachin B. Jagtap, Mr. Shailesh M. Hambarde, “Agricultural plant leaf disease detection and diagnosis using image processing based on morphological feature extraction,†Vol.4, Issue.5, pp-24-30, 2014.

      [69] Auzi Asfarian, Yeni Herdiyeni, Aunu, Kikin and Hamzah Mutaqin, “Paddy diseases identification with texture analysis using fractal descriptors based on fourier spectrum,†International Conference on Computer, Control, Informatics and its Applications, IEEE, 2013.

      [70] Haiguang Wang, Guanlin Li, Zhanhong Ma, and Xiaolong Li, “Application of neural networks to image recognition of plant diseases,†International Conference on Systems and Informatics(ICSAI), IEEE, 2012.

      [71] Jagadeesh D. Pujari, Rajesh Yakkundimath and Abdulmunaf S. Byadgi, “Image processing based detection of fungal diseases in plants,†Procedia Computer Science, Vol.46, pp-1802-1808, 2015.

      [72] M.Thilagavathi and S.Abirami, “Apllication of image processing in diagnosing guava leaf diseases,†International Journal of Scientific Research and Management (IJSRM), Vol-7, Issue-7, pp-5927-5933, 2017.

      [73] Yogesh Dandawate and Radha Kokare, “An automated approach for classification of plant diseases towards development of futuristic decision support system in indian perspective,†International Conference on Advances in Computing, Communications and Informatics(ICACCI) IEEE, 2015.

      [74] Wan Mohd Fadzil W.M.N, Shah Rizam M.S.B.R. Jailani, Nooritawati M.T, “Orchid leaf disease detection using border segmentation techniques,†IEEE Conference on Systems, Process and Control (ICSPC), pp-168-173, 2014.

      [75] Shoby Sunny and Dr. M. P. Indra Gandhi, “An efficient citrus canker detection method based on contrast limited adaptive histogram equalization enhancement,†International Journal of Applied Research, Vol.13, pp-809-815, 2018.

      [76] Evy Kamilah Ratnasari, Mustika Mentari, Raith Kartika Dewi and R.V. Hari Ginardi, “Sugarcane leaf disease detection and severity estimation based on segmented spots image,†International Conference on Information, Communication Technology and System, IEEE, 2014.

      [77] Sanjeev S Sannakki, Vijay S Rajpurohit, V B Nargund and Pallavi Kulkarni, “Diagnosis and classification of grape leaf diseases using neural networks,†4th ICCCNT IEEE, 2013.

      [78] Mr. N.S. Bharti and Prof. R.M Mulajkar, “Detection and classification of plant diseases,†International Research Journal of Engineering and Technology (IRJET), Vol.2, Issue.2, pp-2267-2272, 2015.

      [79] Rakesh Chaware, Rohit Karpe, Prithvi Pakhale and Prof. Smita Desai, “Detection and recognition of leaf disease using image processing,†International Journal of Engineering Science and Computing (IJESC), Vol.7, Issue.5, pp-11964-11967, 2017.

      [80] Prabira Kumar Sethy, Baishalee Negi and Nilamani, “Detection of healthy and defected diseased leaf of rice crop using K-means clustering technique,†International Journal of Computer Applications, Vol.157, Issue.1, 2017.

      [81] Sushil R. Kamlapurkar, “Detection of plant leaf diseases using image processing approach,†International Journal of Scientific and Research Publications, Vol.6, Issue.2, pp-73-76, 2016.

      [82] Vijai Singh and A.K. Misra, “Detection of plant leaf diseases using image segmentation and soft computing techniques,†Information processing in Agriculture, Sciencedirect, pp-41-49, 2017.

      [83] Viraj A. Gulhane and Maheshkumar H. Kolekar, “Diagnosis of diseases on cotton leaves using principal component analysis classifier,†Annual IEEE Inadia Conference (INDICON), 2014.

      [84] Pream Sudha, “Feature selection techniques for the classification of leaf diseases in turmeric,†International Journal of Computer Trends and technology (IJCTT), Vol.43, Issue.3, pp-138-142.

      [85] Sachin. B. Jadhav and prof.Dr.. Sanjay B Patil, “Grading of soybean leaf disease based on segmented image using K-means clustering,†International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE), Vol.4, Issue.6, pp-1816-1822, 2015.

      [86] Sagar Vetal and R.S. Khule, “Tomato plant disease detection using image processing,†International Journal of Advanced Research in computer and Communication Engineering (IJARCCE), Vol.6, issue.6, pp-293-297, 2017.

      [87] Shanwen Zhang, Haoxiang Wang, Wenzhun and Zhuhong You, “Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG,†ELSEVIER, pp-866-872, 2018.

      [88] Sanjib Das, Jonti Saika, Soumita Das and Nural Goni, “A comparative study of different noise filtering techniques in digital images,†International Journal of Engineering Research and General Science, Vol.3, Issue.5, pp-180-191, 2015.

      [89] Er. Amita Kumari and Er .Pankaj Dev Chadha, “A survey on filtering technique for denoising images in digital image processing,†International Journal of Advanced Research in Computer Science and Software Engineering, Vol.4, Issue.8, pp-612-614, 2014.

      [90] Mohd Awais Farooque and Jayant S. Rohnakar, “Survey on various noises and techniques for denoising the color image,†International Journal of application or Innovation in Engineering and Management(IJAIEM), Vol.2, Issue.11,pp-217-221, 2013.

      [91] Toran Lal Sahu and Mrs. Deepti Dubey, “A survey on image noises and denoise techniques,†International Journal of Advanced Research in Computer Engineering and Technology(IJARCET), Vol.1, Issue.9, pp-77-80, 2012.

      [92] Govindaraj. V and Sengottaiyan. G, “Survey of image denoising using different filters,†International Journal of Science Engineering and Technology Research(IJSETR) Vol.2, Issue.2, pp-344-351, 2013.

  • Downloads

  • How to Cite

    Gaganpreet Kaur, M., Kaur, S., & Kaur, A. (2018). Plant Disease Detection: a Review of Current Trends. International Journal of Engineering & Technology, 7(3.34), 874-881. https://doi.org/10.14419/ijet.v7i3.34.19580

    Received date: 2018-09-12

    Accepted date: 2018-09-12