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Research Article

A Review on Plant Disease Detection using Machine Learning

  • Paper ID 267
  • Volume 3, Issue 2
  • Pages 97-98
  • Published Online: March-April 2022
  • 3 Views
Open Access Peer Reviewed

Authors

  • Jyotsana Tripathi1
  • Aayushi Choudhary2
  • Amrita Rai3

123 UG students, Department of computer science, Institute of Technology and Management, Gida Gorakhpur, India.

Article Information

DOI
No DOI
Published Online
March-April 2022
Pages
97-98
Article Type
Research Article
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No DOI available for cross-reference

References

[1]. MS Deepa and Ms. Rashmi Ms. Chinmai Shetty. “A Machine Learning Technique for Identification of Plant Diseases in Leaves”,
Proceedings of the Sixth International Conference on Inventive Computation Technologies [ICICT 2021] IEEE Xplore Part Number:
CFP21F70-ART; ISBN: 978-1-7281-8501-9
[2]. S. Kaur, P. Shreelekha, and G. Shivani. “Plants Disease Identification and Classification Through Leaf Images: A Survey”, Archives
of Computational Methods in Engineering., 2019.
[3].Parul Sharma, Yash Paul Singh Berwal and Wiqus Ghai “KrishiMitr (Farmer’s Friend): Using Machine Learning to Identify
Diseases in Plants”, Proceedings of the Sixth International Conference on Inventive Computation Technologies [ICICT 2021] IEEE
Xplore Part Number: CFP21F70-ART; ISBN: 978-1-7281-8501-9
[4]. HS. Muhammad, P. Johan and MA. Khalid. “Plant Disease Detection and Classification by Deep Learning”, Plants. Vol. 8, No.
468, pp.1-22, 2019. [5]. A. Kamilaris, X. Francesc, and Prenafeta-Boldú. “Deep Learning in Agriculture: A Survey”, Computers and
Electronics in Agriculture., 2018.
[5] Kumar, C., Chauhan, S., Alla, R., N. (2015)“Classification of citrus fruits using image processing-GLCM parameters, ICCSP.
[6] Sammy V. Militante1, Bobby D. Gerardoij, Nanette V. DionisioĴ.” Plant Leaf Detection and Disease Recognition using Deep
Learning”, 2019 IEEE Eurasia Conference on IoT, Communication, and Engineering.
[7] Arti. N.R, Bhavesh, T., Vatsal, S., (2013), “Image processing Techniques for Detection of Leaf Disease”, International Journal of
Advanced Research in Computer Science and Software Engineering, vol 3, no.11.
[8] Vijai, S., A.K.Misra, (2017), “Detection of plant leaf diseases using image segmentation and soft computing techniques”, Information
Processing in Agriculture.
[9] J. G. A. Barbedo, L. V. Koenigkan, and T. T. Santos, “Identifying multiple plant diseases using digital image processing,” Biosystems
Engineering
[10] V. Tumen, O. F. Soylemez and B. Ergen, Facial emotion recognition on a dataset using convolutional neural network, 2017
International Artificial Intelligence and Data Processing Symposium (IDAP), 2017, 2016.
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