The country's ability to become self-sufficient in food production is becoming increasingly important. Agriculture is
the primary occupation of a large portion of the population in equatorial countries like India, where the climate is ideal for the
spread of plants. Pests and diseases are in control of about 25% of crop loss, according to a recent study released by the Food and
Agriculture Organization. Black spot, leaf spot, rust, mildew, and botrytis blight are the most common plant diseases. Deep
learning is a relatively new research technique for image processing and pattern recognition that has been proven to be highly
productive in detection of plant leaf diseases.
Keywords
Digital Image Processing, Convolutional Neural Network, Segmentation, Pathology
L. Florea and C. Florea, “Directed color transfer for low-light image enhancement,” Digital Signal Processing, vol. 93, pp. 1–12, Oct. 2019.
G. Li, X. Shen, J. Li, and J. Wang, “Diagonal-kernel convolutional neural networks for image classification,” Digital Signal Processing, vol. 108, p. 102898, Jan. 2021.
C. Wu and Z. Kang, “Robust entropy-based symmetric regularized picture fuzzy clustering for image segmentation,” Digital Signal Processing, vol. 110, p. 102905, Mar. 2021.
D. Béréziat and I. Herlin, “Motion and acceleration from image assimilation with evolution models,” Digital Signal Processing, vol. 83, pp. 45–58, Dec. 2018.
X. Wu and C.-N. Yang, “Partial reversible AMBTC-based secret image sharing with steganography,” Digital Signal Processing, vol. 93, pp. 22–33, Oct. 2019.
W. Wang, J. Qin, Y. Zhang, D. Deng, S. Yu, Y. Zhang, and Y. Liu, “TNNL: A novel image dimensionality reduction method for face image recognition,” Digital Signal Processing, vol. 115, p. 103082, Aug. 2021.
D. Liu, Q. Su, Z. Yuan, and X. Zhang, “A blind color digital image watermarking method based on image correction and eigenvalue decomposition,” Signal Processing: Image Communication, vol. 95, p. 116292, Jul. 2021.
L. Ma, “Research on distance education image correction based on digital image processing technology,” EURASIP Journal on Image and Video Processing, vol. 2019, no. 1, Jan. 2019.
L. Zhang, L. Zhang, and L. Zhang, “Application research of digital media image processing technology based on wavelet transform,” EURASIP Journal on Image and Video Processing, vol. 2018, no. 1, Dec. 2018.
Z. Che and X. Zhuang, “Digital Affine Shear Filter Banks With 2-Layer Structure and Their Applications in Image Processing,” IEEE Transactions on Image Processing, vol. 27, no. 8, pp. 3931–3941, Aug. 2018.
M. Fan and H. Wang, “An enhanced fragile watermarking scheme to digital image protection and self-recovery,” Signal Processing: Image Communication, vol. 66, pp. 19–29, Aug. 2018.
Y.-S. Lee, Y.-H. Seo, and D.-W. Kim, “Digital blind watermarking based on depth variation prediction map and DWT for DIBR free-viewpoint image,” Signal Processing: Image Communication, vol. 70, pp. 104–113, Feb. 2019.
Acknowledgements
Author(s) thanks to Dr.Verena Hofer for this research completion and support.
Funding
No funding was received to assist with the preparation of this manuscript.
Ethics declarations
Conflict of interest
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Availability of data and materials
No data available for above study.
Author information
Contributions
All authors have equal contribution in the paper and all authors have read and agreed to the published version of the manuscript.
Corresponding author
Alina Granwehr
Alina Granwehr
University Mohamed Khider Biskra, Biskra 07000, Algeria.
Open Access This article is licensed under a Creative Commons Attribution NoDerivs is a more restrictive license. It allows you to redistribute the material commercially or non-commercially but the user cannot make any changes whatsoever to the original, i.e. no derivatives of the original work. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
Cite this article
Alina Granwehr and Verena Hofer, “Analysis on Digital Image Processing for Plant Health Monitoring”, Journal of Computing and Natural Science, vol.1, no.1, pp. 005-008, January 2021. doi: 10.53759/181X/JCNS202101002.
