An efficient IoT based framework for detecting rice disease in smart farming system-Reference-Cited by-同舟云学术

An efficient IoT based framework for detecting rice disease in smart farming system

Published:2023-04-28 Issue:29 Volume:82 Page:45259-45292
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Rezk Nermeen Gamal,Hemdan Ezz El-Din^ORCID,Attia Abdel-Fattah,El-Sayed Ayman^ORCID,El-Rashidy Mohamed A.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15470-2.pdf

Reference40 articles.

1. Azim MA, Islam MK, Rahman MM, Jahan F (2021) An effective feature extraction method for rice leaf disease classification. Telkomnika 19(2):463–470

2. Ben-Bassat M (1982) Pattern recognition and reduction of dimensionality. Handbook of Statistics 2(1982):773–910

3. Biswas M, Faruqui N, Siddique H, Lata MA, Mahi MJN (2019) A Novel Inspection of Paddy Leaf Disease Classification using Advance Image Processing Techniques

4. Blum AL, Langley P (1997) Selection of relevant features and examples in machine learning. Artif Intell 97(1–2):245–271

5. Breiman L (2017) Classification and regression trees. Routledge, Abingdon

Cited by 5 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. Exploration of machine learning approaches for automated crop disease detection;Current Plant Biology;2024-12

2. IoT-based prediction and classification framework for smart farming using adaptive multi-scale deep networks;Expert Systems with Applications;2024-11

3. Feature Group Extraction for Rice Disease Prediction using VGG-16 Model;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

4. Implementing Emerging Technologies in Smart Farming With IoT;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

5. Agro-Technological Systems in Traditional Agriculture Assistance: A Systematic Review;IEEE Access;2023