Real-time detection of cole diseases and insect pests in wireless sensor networks-Reference-Cited by-同舟云学术

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Real-time detection of cole diseases and insect pests in wireless sensor networks

Published:2019-10-09 Issue:3 Volume:37 Page:3513-3524
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Libo Zhou¹²,Tian Huang²³,Chunyun Guan¹,Elhoseny Mohamed⁴

Affiliation:

1. College of Agriculture, Hunan Agricultural University, Changsha, China

2. College of Information and Electronic Engineering, Hunan City University, YiYang, Hunan Province, China

3. Hunan Engineering Research Center for Internet of Animals, Changsha, China

4. Faculty of Computers and Information, Mansoura University, Mansoura, Egypt

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference42 articles.

1. AAmara J. , Bouaziz B. and Algergawy A. , A Deep Learning-based Approach for Banana Leaf Diseases Classification[C]//BTW (Workshops). 2017, 79–88.

2. Szegedy C. , Liu W. , Jia Y. , et al., Going deeper with convolutions[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2015, 1–9.

3. Dual path networks;Chen;Advances in Neural Information Processing Systems,2017

4. Deep neural networks for object detection;Szegedy;Advances in Neural Information Processing Systems,2013

5. Modelling the impacts of pests and diseases on agricultural systems;Donatelli;Agricultural Systems,2017

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1. Real-Time Plant Disease Dataset Development and Detection of Plant Disease Using Deep Learning;IEEE Access;2024

2. I-LDD: an interpretable leaf disease detector;Soft Computing;2023-05-30

3. Intelligent Grading of Tobacco Leaves Using an Improved Bilinear Convolutional Neural Network;IEEE Access;2023

4. Improved CNN Method for Crop Pest Identification Based on Transfer Learning;Computational Intelligence and Neuroscience;2022-03-16

5. Tobacco Leaf Grading Based on Deep Convolutional Neural Networks and Machine Vision;Journal of the ASABE;2022

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