Banana Leaf Diseases and Machine Learning Algorithms Applied to Detect Diseases: A Study
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4052-1_14
Reference19 articles.
1. Dita M, Barquero M, Heck D, Mizubuti ESG, Staver CP (2018) Fusarium wilt of banana: current knowledge on epidemiology and research needs toward sustainable disease management. Front Plant Sci 9:1468. https://doi.org/10.3389/fpls.2018.01468
2. Selvaraj MG et al (2019) AI-powered banana diseases and pest detection. Plant Methods 15(1):1–11. https://doi.org/10.1186/s13007-019-0475-z
3. Upadhyay A, Oommen NM, Mahadik S (2021) Identification and assessment of black sigatoka disease in banana leaf. Lect Notes Netw Syst 135:237–244. https://doi.org/10.1007/978-981-15-5421-6_24
4. Saranya N, Pavithra L, Kanthimathi N, Ragavi B, Sandhiyadevi P (2020) Detection of banana leaf and fruit diseases using neural networks. In: Proceedings of 2nd international conference inventive research in computing applications, ICIRCA 2020, pp 493–499. https://doi.org/10.1109/ICIRCA48905.2020.9183006
5. Ploetz RC (2015) Fusarium wilt of banana. Phytopathology 105(12):1512–1521. https://doi.org/10.1094/PHYTO-04-15-0101-RVW
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