Performance evaluation of plant leaf disease detection using deep learning models
Author:
Affiliation:
1. Department of Computer Science, Banasthali Vidyapith, Aliyabad, Rajasthan, India
Publisher
Informa UK Limited
Subject
Agronomy and Crop Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03235408.2023.2183792
Reference41 articles.
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2. Ajra H, Nahar MK, Sarkar L, Islam MS. 2020. Disease detection of plant leaf using image processing and CNN with preventive measures. Emerging Technology in Computing, Communication and Electronics (ETCCE), Bangladesh, December 21–22, 2020, p. 1–6.
3. Al-Amin M, Bushra TA, Hoq MN. 2019. Prediction of potato disease from leaves using deep convolution neural network towards a digital agricultural system. 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), Dhaka, Bangladesh, May 3–5, 2019, p. 1–5.
4. Deep learning in agriculture: A survey
5. Anwar MK, Muhajir M, Sutoyo E, Afakh ML, Risnumawan A, Purnomo DS, Ningrum ES, Darojah Z, Darmawan A, Tamara MN. 2018. Deep features representation for automatic targeting system of gun turret. International Electronics Symposium on Engineering Technology and Applications (IES-ETA), Bali, Indonesia, October 29-30, 2018, p. 107–112.
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