Abstract
The purpose of this paper is to detect and classify the disease in leaf which may occur and not visible to the human naked-eye. Where the cultivators of this field are beyond the bound of possibilities. The algorithmic solution is based on image-processing for automation of disease detection. Diseases in crops, chiefly on the leaves affect and lead to the reduction of both quality and quantity of agricultural products. As the Indian economy is agriculture based, and farmers cannot afford experts for solution. So this approach is to provide rapid, affordable and precise way to detect. The implementation is done using image processing and LVQ algorithm, then for accuracy confusion matrix is applied.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ghaiwat, S.N., Arora, P.: Detection and classification of plant leaf diseases using image processing techniques: a review. Int. J. Recent Adv. Eng. Technol. 2(3), 1–7 (2014)
Khirade, S.D., Patil, A.B.: Plant disease detection using image processing. In: 2015 International Conference on Computing Communication Control and Automation. IEEE (2015)
Bashir, S., Sharma, N.: Remote area plant disease detection using image processing. IOSR J. Electron. Commun. Eng. 2(6), 31–34 (2012)
Arivazhagan, S., et al.: Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features. Agric. Eng. Int. CIGR J. 15(1), 211–217 (2013)
Dhaygude, S.B., Kumbhar, N.P.: Agricultural plant leaf disease detection using image processing. Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 2(1), 599–602 (2013)
Singh, V., Misra, A.K.: Detection of plant leaf diseases using image segmentation and soft computing techniques. Inf. Process. Agric. 4(1), 41–49 (2017)
Namrata, K.P., et al.: Leaf based disease detection using “GLCM and SVM”. Int. J. Sci. Eng. Technol (2017). ISSN (O) 2348-4098, ISSN (P) 2395–4752
Rastogi, A., Arora, R., Sharma, S.: Leaf disease detection and grading using computer vision technology & fuzzy logic. In: 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN) (2015)
Rashmi, S., Laxmi, K., Priyanka, H.: Plant leaf disease detection based on image processing using MATLAB. Int. J. Innovative Res. Comput. Commun. Eng. 6(5) (2018)
Mainkar, P.M., Shreekant, G., Mayur, A.: Plant leaf disease detection and classification using image processing techniques. Int. J. Innovative Emerg. Res. Eng. 2, 139–144 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Upadhyay, A., Singh, J., Shinde, R. (2020). Learning Vector Quantization Based Leaf Disease Detection. In: Batra, U., Roy, N., Panda, B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1229. Springer, Singapore. https://doi.org/10.1007/978-981-15-5827-6_21
Download citation
DOI: https://doi.org/10.1007/978-981-15-5827-6_21
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5826-9
Online ISBN: 978-981-15-5827-6
eBook Packages: Computer ScienceComputer Science (R0)