Machine Vision Systems in Precision Agriculture for Crop Farming.
Machine Vision Systems in Precision Agriculture for Crop Farming.
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DOI：
10.3390/jimaging5120089
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发表时间：
2019-12-07
影响因子：
3.2
通讯作者：
Kaburlasos VG
中科院分区：
文献类型：
--
作者：
Mavridou E;Vrochidou E;Papakostas GA;Pachidis T;Kaburlasos VG
近年来，机器视觉在精准农业中的应用引起了广泛的研究兴趣。本文的目的是回顾机器视觉应用于农业的最新工作，主要是农作物种植。本研究对认知技术在农业中的应用具有一定的指导意义。综述了支持作物收获的不同农业活动的研究，如水果分级、水果计数和产量估计。此外，植物健康监测方法，包括杂草，昆虫和疾病的检测。最后，最近的研究工作，考虑车辆导航系统和农业收获机器人也进行了审查。
Machine vision for precision agriculture has attracted considerable research interest in recent years. The aim of this paper is to review the most recent work in the application of machine vision to agriculture, mainly for crop farming. This study can serve as a research guide for the researcher and practitioner alike in applying cognitive technology to agriculture. Studies of different agricultural activities that support crop harvesting are reviewed, such as fruit grading, fruit counting, and yield estimation. Moreover, plant health monitoring approaches are addressed, including weed, insect, and disease detection. Finally, recent research efforts considering vehicle guidance systems and agricultural harvesting robots are also reviewed.