Open Access Journal

ISSN : 2394-6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Smart Plant Disease Detection

Author : Tanvi Pandit 1 Neha Thombare 2 Rajiya Kazi 3 Prof. Mrinalini Pangaonkar 4

Date of Publication :19th August 2021

Abstract: It is not always possible for the farmers to predict the situation that can arise and their prediction can fail. The main reason is plant disease. So, to assist the farmers in safeguarding the plants from diseases becomes the motivation. Leaf images are vital in the automatic diagnosis of plant diseases, according to the majority of researchers. There has been development in technology used in automatic plant disease detection such as Deep Learning, Machine Learning, Computer Vision, Internet of Things (IoT), Expert Systems. The purpose of this system is to detect leaf disease using the machine learning technique based on Raspberry Pi controller for processing the plant leaf image to detect diseases

Reference :

  1. [1] Santanu Phadikar and Jaya Sil Rice Disease identification using Pattern Recognition Techniques Proceedings of 11th International Conference on Computer and Information Technology (ICCIT 2008)25- 27 December, 2008, Khulna, Bangladesh, pp. 1-4244- 2136-7/08.

    [2] Dheeb Al Bashish, Malik Braik and Sulieman BaniAhmad “A Framework for Detection and Classification of Plant Leaf and Stem Diseases” 2010 IEEE International Conference on Signal and Image Processing, pp. 978-1- 4244-8594- 9/10.

    [3] 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” 2012 IEEE Third International Conference on Intelligent Systems Modelling and Simulation, pp. 978-0-7695- 4668-1/12.

    [4] Sabah Bashir and Navdeep Sharma “Remote Area Plant Disease Detection Using Image Processing” IOSR Journal of Electronics and Communication Engineering (IOSRJECE)ISSN: 2278-2834 Volume 2, Issue 6 (Sep-Oct 2012), PP 31-34.


    1. Santanu Phadikar and Jaya Sil Rice Disease identification using Pattern Recognition Techniques Proceedings of 11th International Conference on Computer and Information Technology (ICCIT 2008)25- 27 December, 2008, Khulna, Bangladesh, pp. 1-4244- 2136-7/08.
    2. Dheeb Al Bashish, Malik Braik and Sulieman BaniAhmad “A Framework for Detection and Classification of Plant Leaf and Stem Diseases” 2010 IEEE International Conference on Signal and Image Processing, pp. 978-1- 4244-8594- 9/10.
    3. 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” 2012 IEEE Third International Conference on Intelligent Systems Modelling and Simulation, pp. 978-0-7695- 4668-1/12.
    4. Sabah Bashir and Navdeep Sharma “Remote Area Plant Disease Detection Using Image Processing” IOSR Journal of Electronics and Communication Engineering (IOSRJECE)ISSN: 2278-2834 Volume 2, Issue 6 (Sep-Oct 2012), PP 31-34.

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