Current Status and Perspectives of the Artificial Intelligence-Based Identification of Citrus Huanglongbing

Yichuan Bu, Haifeng Gan, Yujian Gan
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Abstract

Over the past decade, several studies have been published exploring AI-based identification of Huanglongbing. However, there is a shortage of studies that integrate the existing knowledge related to AI technical identification. The main objective of this paper is to review the published papers in a time series to summarize the accuracy of HLB recognition-related AI algorithms in practical use. It also compares the different algorithms used in different studies using the identification accuracy as a benchmark, and finds that more sophisticated AI algorithms such as deep learning have higher accuracy rates. In addition, the article also makes suggestions for the future development direction of this field.
黄龙冰柑橘人工智能鉴定的现状与展望
在过去的十年中,已经发表了一些研究,探索基于人工智能的黄龙冰鉴定。然而,整合现有的人工智能技术识别相关知识的研究还很缺乏。本文的主要目的是对已发表的论文进行时间序列的回顾,总结实际应用中与HLB识别相关的人工智能算法的准确性。并以识别准确率为基准,比较了不同研究中使用的不同算法,发现深度学习等更复杂的人工智能算法准确率更高。此外,文章还对该领域未来的发展方向提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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