Research on the Identification and Prediction of Honey Pomelo Diseases and Pests Based on Deep Learning-Reference-Cited by-同舟云学术

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Research on the Identification and Prediction of Honey Pomelo Diseases and Pests Based on Deep Learning

Published:2024-04-26 Issue: Volume:38 Page:645-649
ISSN:
Container-title:International Conference on Algorithms, Software Engineering, and Network Security
language:
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Author:

Peng Shuo¹^ORCID,Wang Haoquan²^ORCID,Yang Peiyu¹^ORCID,Yuan Minjie¹^ORCID,Wu Chuanmin¹^ORCID,Peng Zihao³^ORCID,Tan Yunlan¹^ORCID

Affiliation:

1. School of Electronics and Information Engineering, Jinggangshan University, China

2. School of Software, Nanchang University, China

3. School of Mathematics and Computer Sciences, Nanchang University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3677182.3677298

Reference15 articles.

1. Screening, Identification and Biological Control Activity of Streptomyces sp. XG40 against Black Spot Disease of Guanxi Honey Pomelo Cultivar;Lai B.;Chinese Journal of Biological Control,2022

2. Comprehensive Utilization of Immature Honey Pomelo Fruit for the Production of Value-Added Compounds Using Novel Continuous Phase Transition Extraction Technology

3. Identification of pathogen causing Guanxi honey pomelo anthracnose in Pinghe county of Fujian province;Lai B.;Journal of Fruit Science,2017

4. Shavanov, M. V., Shigapov, I. I., Niaz, A, 2022. Biological methods for pests and diseases control in agricultural plants. In: AIP Conference Proceedings. Vol. 2390, No. 1.

5. Plant diseases and pests detection based on deep learning: a review

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