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Sensing and Automation Technologies for Ornamental Nursery Crop Production: Current Status and Future Prospects.

Authors :
Mahmud, Md Sultan
Zahid, Azlan
Das, Anup Kumar
Source :
Sensors (14248220). Feb2023, Vol. 23 Issue 4, p1818. 25p.
Publication Year :
2023

Abstract

The ornamental crop industry is an important contributor to the economy in the United States. The industry has been facing challenges due to continuously increasing labor and agricultural input costs. Sensing and automation technologies have been introduced to reduce labor requirements and to ensure efficient management operations. This article reviews current sensing and automation technologies used for ornamental nursery crop production and highlights prospective technologies that can be applied for future applications. Applications of sensors, computer vision, artificial intelligence (AI), machine learning (ML), Internet-of-Things (IoT), and robotic technologies are reviewed. Some advanced technologies, including 3D cameras, enhanced deep learning models, edge computing, radio-frequency identification (RFID), and integrated robotics used for other cropping systems, are also discussed as potential prospects. This review concludes that advanced sensing, AI and robotic technologies are critically needed for the nursery crop industry. Adapting these current and future innovative technologies will benefit growers working towards sustainable ornamental nursery crop production. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14248220
Volume :
23
Issue :
4
Database :
Academic Search Index
Journal :
Sensors (14248220)
Publication Type :
Review
Accession number :
162163022
Full Text :
https://doi.org/10.3390/s23041818