Home > Archives > IJSRST1184544 IJSRST-Library

A Review : Leaf Disease Detection Using Image Processing

Authors(5) :-Prof. Neha Chourasia, Mayuri Mahalle, Shubhangi Daduriya, Surbhi Lanjewar, Urvashi Giri

Identification of the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. The studies of the plant diseases mean the studies of visually observable patterns seen on the plant. Health monitoring and disease detection on plant is very critical for sustainable agriculture. In this paper we present an automatic detection of plant diseases using image processing techniques. The presented system is a software solution for automatic detection and computation of texture statistics for plant leaf diseases. The processing system consists of four main steps, first a color transformation structure for the input RGB image is created, then the green pixels are masked and removed using specific threshold value, then the image is segmented and the useful segments are extracted, finally the texture statistics is computed. From the texture statistics, the diseases, if present on the plant leaf are evaluated.
Prof. Neha Chourasia, Mayuri Mahalle, Shubhangi Daduriya, Surbhi Lanjewar, Urvashi Giri
Image Acquisition, Pre-Processing, Features Extraction, Classification, Neural Network
  1. Sandeep B. Patil& Santosh Kumar Sao „"AN IMPROVED LEAF DISEASE DETECTION USING COLLECTION OF FEATURES AND SVM CLASSIFIERS".
  2. RenukaRanjedraKajale „"DETECTION & RECOGNIZATION OF PLANT LEAF DISEASES USING IMAGE PROCESSING AND ANDROID SYETEM".
  3. Ms. Chithra J L (Government college) „"LEAF INFECTION DETECTION AND DIAGNOSIS USING IMAGE PROCESSING TECHNIQUE.
  4. Ms. Arti N. Rathod ,Computer Engineering ,Gujarat (Technical University) „"IMAGE PROCESSING TECHNIQUES FOR DETECTION OF LEAF DISEASES".
  5. Mrs. Jayme Garcia ArnalBarbedo Digital image processing techniques for detecting, quantifying and classifying plant diseases(SPRINGER PLUS-2013.
  6. SmitaNaikwadi, NiketAmoda, "advances in image processing for detection of plant diseases" international journal of application or innovation in engineering & management, PP: 168-175, November 2013.
  7. Kholis Majid, YeniHerdiyeni, AunuRauf "I-PEDIA: Mobile Application for Paddy Disease Identification using Fuzzy Entropy and Probabilistic Neural Network" IEEE ICACSIS 2013.
  8. Al-Bashish, D., M. Braik, and S. Bani-Ahmad. 2011. "Detection and classification of leaf diseases using Kmeans- based segmentation and neural networks based classification". Information Technology Journal, 10(2): 267-275.
  9. RakeshKaundal, Amar S Kapoor and Gajendra PS Raghava "Machine learning technique in disease forecasting: a case study on rice blast prediction, "BMC Bioinformatics, 2006.
Publication Details
  Published in : Volume 4 | Issue 5 | March-April 2018
  Date of Publication : 2018-03-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 169-173
Manuscript Number : IJSRST1184544
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Prof. Neha Chourasia, Mayuri Mahalle, Shubhangi Daduriya, Surbhi Lanjewar, Urvashi Giri, "A Review : Leaf Disease Detection Using Image Processing", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 5, pp.169-173, March-April-2018.
Journal URL : http://ijsrst.com/IJSRST1184544

Article Preview