Deep Learning-Based Lentil Leaf Disease Classification

Author:

Fatema Kaniz,Rony Md. Awlad Hossen,Puspita Kazi Mumtahina,Hasan Md. ZahidORCID,Uddin Mohammad ShorifORCID

Publisher

Springer Nature Singapore

Reference34 articles.

1. Adoption and Impact of Improved Lentil Varieties in Bangladesh. https://cas.cgiar.org/spia/publications/adoption-and-impact-improved-lentil-varieties-bangladesh-1996-2015. Accessed 13 Oct 2021

2. Lentil Imports on the rise. https://www.thedailystar.net/business/news/lentil-imports-the-rise-2036693. Accessed 13 Oct 2021

3. Shahin MA, Symons SJ (2003) Lentil type identification using machine vision. Can Biosyst Eng Le Genie des Biosyst. au Canada 45:5–11 (2003)

4. Singh K, Kumar S, Kaur P (2019) Automatic detection of rust disease of Lentil by machine learning system using microscopic images. Int J Electr Comput Eng 9:660

5. Xie X, Ma Y, Liu B, He J, Li S, Wang H (2020) A deep-learning-based real-time detector for grape leaf diseases using improved convolutional neural networks. Front Plant Sci 11:751

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