AETC:利用物联网辅助害虫图像优化整合 Yolo + SSD 和自适应集合传输 CNN 的害虫自动检测和分类模型

IF 2.5 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
B. Prasath, M. Akila
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引用次数: 0

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本文章由计算机程序翻译,如有差异,请以英文原文为准。

AETC: an automated pest detection and classification model using optimal integration of Yolo + SSD and adaptive ensemble transfer CNN with IoT-assisted pest images

AETC: an automated pest detection and classification model using optimal integration of Yolo + SSD and adaptive ensemble transfer CNN with IoT-assisted pest images
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来源期刊
Knowledge and Information Systems
Knowledge and Information Systems 工程技术-计算机:人工智能
CiteScore
5.70
自引率
7.40%
发文量
152
审稿时长
7.2 months
期刊介绍: Knowledge and Information Systems (KAIS) provides an international forum for researchers and professionals to share their knowledge and report new advances on all topics related to knowledge systems and advanced information systems. This monthly peer-reviewed archival journal publishes state-of-the-art research reports on emerging topics in KAIS, reviews of important techniques in related areas, and application papers of interest to a general readership.
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