Abstract
Agricultural sector is among the major sources of food for humans. About 60% of the country is involved in agriculture and other agricultural practices in a certain way. Being a major occupation of most Indians, significant developments in the field are strongly required to ensure higher yields and less crop damage. With the introduction of technology such as artificial intelligence and the Internet of Things, there have been major advances in the estimation and accuracy of tasks. Using AI and IoT, we can build advanced monitoring systems that can ensure crop health and prevent damage. This can also be implemented in the field of agriculture. The key steps that we addressed in this paper are image pre-processing, extraction of features, classification, and analysis of the results provided by the technique.
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References
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)
Kumar, M., Kamble, M., Pawar, S., Patil, P., Bonde, N.: Survey on techniques for plant leaf classification. Int. J. Mod. Eng. Res. 1(2), 538–544 (2011)
Weizheng, S., Yachun, W., Zhanliang, C., Hongda, W.: Grading method of leaf spot disease based on image processing. In: Proceedings of the 2008 International Conference on Computer Science and Software Engineering, pp. 491–494. IEEE Computer Society (2008)
Kausha, G., Bala, R.: GLCM and KNN based algorithm for plant disease detection. Int. J. Adv. Res. Electr. Electr. Instrum. Eng. 6(7), 5845–5852 (2017)
Kumari, C.U., Prasad, S.J., Mounika, G.: Leaf disease detection: feature extraction with K-means clustering and classification with ANN. In: 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), pp. 1095–1098. IEEE March (2019)
Ghaiwat, S.N., Arora, P.: Detection and classification of coffee diseases using image processing techniques. Review 2(3) (2014)
Hossain, E., Hossain, M.F., Rahaman, M.A.: A color and texture based approach for the detection and classification of plant leaf disease using KNN classifier. In: 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1–6. IEEE Feb (2019)
Grape Leaf Disease Detection Using K-means Clustering Algorithm. Int. Res. J. Eng. Technol. (IRJET) (2016)
Baghel, J., Jain, P.: K-means segmentation method for automatic leaf disease detection. Int. J. Eng. Res. Appl. 6(3), 83–86 (2016)
Jaware, T.H., Badgujar, R.D., Patil, P.D.: Crop disease detection using image segmentation. In: National Conference on Advances in Communication and Computing, World Journal of Science and Technology, pp. 190–194, Dhule, Maharashtra, India (2012)
Niu, X.: Image segmentation algorithm for disease detection of wheat leaves. In: 2014 IEEE Proceedings of the 2014 International Conference on Advanced Mechatronic Systems, Japan, pp. 270–273 (2014)
Kadu, R.N., Kangane, S., Vikhe, S., Pandita, R., Inamke, V.: Leaf disease detection using Arm7 and image processing. Int. J. Eng. Res. Appl. 5(2), 2248–9622 (2019)
Padol, P.B., Yadav, A.A.: SVM classifier based grape leaf disease detection. In: 2016 Conference on Advances in Signal Processing (CASP), pp. 175–179. IEEE (2016) June
Abdullah, N.E., Rahim, A.A., Hashim, H., Kamal, M.M.: Classification of rubber tree leaf diseases using multilayer perceptron neural network. In: 2007 5th Student Conference on Research and Development (2007)
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)
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Dwari, A., Tarasia, A., Jena, A., Sarkar, S., Jena, S.K., Sahoo, S. (2021). Smart Solution for Leaf Disease and Crop Health Detection. In: Das, S., Mohanty, M.N. (eds) Advances in Intelligent Computing and Communication. Lecture Notes in Networks and Systems, vol 202. Springer, Singapore. https://doi.org/10.1007/978-981-16-0695-3_23
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DOI: https://doi.org/10.1007/978-981-16-0695-3_23
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