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Research Article
A Review on Plant Disease Detection using Machine Learning
Jyotsana Tripathi1
Aayushi Choudhary2
Amrita Rai3
123 UG students, Department of computer science, Institute of Technology and Management, Gida Gorakhpur, India.
Published Online: March-April 2022
Pages: 97-98
Cite this article
No DOIReferences
[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.
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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