Abstract
To make agriculture produce better results, several disease detection methods can be used to detect the diseased plant and take on some precautionary measures. Based on recent paper reviews, disease detection can be a very lengthy and complex job. The detection of disease still remains open for more modification and detects the disease with more accuracy and efficiency. Use of CNN (Convolutional Neural Network) models with deep learning methodologies have provided a boon to plant disease detection.
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Pradhan, S.S., Patil, R. (2020). Comparison of Deep Learning Approaches for Plant Disease Detection. In: Vasudevan, H., Gajic, Z., Deshmukh, A. (eds) Proceedings of International Conference on Wireless Communication . Lecture Notes on Data Engineering and Communications Technologies, vol 36. Springer, Singapore. https://doi.org/10.1007/978-981-15-1002-1_58
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DOI: https://doi.org/10.1007/978-981-15-1002-1_58
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