Abstract
Information, knowledge and equipment are the three main components of smart agriculture. This special edition focuses on a few issues that still require research and discussion. For example, using and enhancing machine learning techniques for crop disease and pest detection and recognition , plant species recognition, smart agricultural IoT, food material supply chain security tracing, and other crucial issues in smart agriculture.Visual recognition technology has been increasingly applied to numerous areas of agricultural development with the advancement of computer graphics and image processing technology in artificial intelligence(AI). Today, there is still a significant room for this technology in modern agriculture (Benos et al.,2021, Dhanya et al., 2022,Tombe,2020 .During the process of green apple harvesting or yield estimation, the accurate recognition and fast location of the target fruit bring tremendous challenges to the vision system. In
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