Plant Leaf Disease Detection Using ResNet-Reference-Cited by-同舟云学术

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Plant Leaf Disease Detection Using ResNet

Published:2023 Issue: Volume: Page:867-877
ISSN:2367-3370
Container-title:Soft Computing: Theories and Applications
language:
Short-container-title:

Author:

Kumar Amit,Priyanshu Manish Kumar,Singh Rani,Sen Snigdha

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9858-4_74

Reference18 articles.

1. Sen S, Agarwal S, Chakraborty P et al (2022) Astronomical big data processing using machine learning: a comprehensive review. Exp Astron. https://doi.org/10.1007/s10686-021-09827-4

2. Sen S et al (2021) Analysis, visualization and prediction of COVID-19 pandemic spread using machine learning. In: innovations in computer science and engineering. pp 597–603. Springer Singapore

3. Sen S, Singh KP, Chakraborty P (2023). Dealing with imbalanced regression problem for large dataset using scalable Artificial Neural Network. New Astron 99:101959

4. Sen S, Amrita I (2022). A transfer learning based approach for lung inflammation detection. Advanced Techniques for IoT Applications. In: Proceedings of EAIT 2020. Springer Singapore

5. Monisha R et al (2022). An approach toward design and implementation of distributed framework for astronomical big data processing. Intelligent Systems. In: Proceedings of ICMIB 2021. pp 267–275. Singapore: Springer Nature Singapore

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey on Tea Plant Disease Prediction for Blister Blight;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

2. Detection and Classification of Olive Leaves Diseases Using Machine Learning Algorithms;Lecture Notes in Computer Science;2024

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