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作 者:夏雪[1] 丘耘[1] 王健[1] 胡林[1] 崔运鹏[1] 樊景超[1] 郭秀明[1] 周国民[1] XIA Xue QIU Yun WANG Jian HU Lin CUI Yunpeng FAN Jingchao GUO Xiuming ZHOU Guomin(Institute of Agricultural Information, Chinese Academy of Agrieuhural Sciences, Beijing 100081, China)
机构地区:[1]中国农业科学院农业信息研究所,北京100081
出 处:《中国农业科技导报》2017年第2期65-74,共10页Journal of Agricultural Science and Technology
基 金:国家863计划项目(2013AA102405)资助
摘 要:随着信息技术的快速发展,果园管理逐步走向数字化、机械化和智能化。果园环境下苹果的精确侦测与定位成为实现果实作业自动化的关键。总结了苹果侦测中的视觉数据获取方法、图像预处理方法和果实图像分割方法,分析了苹果侦测中遮挡和重叠问题的处理方法,归纳了目标果实定位的主要方法和原理,探讨了苹果侦测与定位研究中存在的挑战,并对未来发展趋势进行了展望,以期为进一步开展果园信息化研究提供参考。With the rapid development of information technology, orchard management has gradually become digitalized, mechanized and intelligentized. Accurate apple detection and localization in orchard environment will be the key of automatic fruit operation. This paper summarized the apple vision data acquisition methods, image preprocessing methods and apple image segmentation methods in orchard environment. The paper also analyzed the crucial approaches for apple occlusion and overlapping issues, concluded the main methods and principle for target apple localization, discussed the existing challenges in studies on apple detection and localization, and prospected the future development trend, so as to provide references for further orchard informatization.
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