Journal
JOURNAL OF IMAGING
Volume 5, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/jimaging5120089
Keywords
machine vision; precision agriculture; agrobots; intelligent systems; industry 4.0
Categories
Funding
- European Union
- Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH-CREATE-INNOVATE [T1EDK-00300]
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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.
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