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The Morphologic-Aware Self Adaptive (MASA) System with Image Analysis Technique for Zoysiagrass Managements

Yong-Ik Kwon1,†, Jeong-Beom Park2,†, Seung-Woo Nho2, Yong-shin Kim2, Sang-Won Lee3, Jin-Woo Eo4,*, and Hyo-Yeon Lee1,*
Plant Breed. Biotech. ;4(4):495-501.
Published online: November 30, 2016
• Received: October 17, 2016   • Revised: November 25, 2016   • Accepted: November 25, 2016
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Zoysiagrass (Zoysia japonica Steud.) is one of the most popularly cultivated grasses for sports and recreational environments, particularly in warm region. Zoysiagrass has a tardiness of vegetative propagation compared to other turfgrass. Thus farmers and green keepers want to quickly recognize the field information for management. We discuss the design of a Morphologic-Aware Self-Adaptive (MASA) system for zoysiagrass agricultural business. MASA system with image analysis technique is able to rapidly detect grass blade color and length variations caused by changing climate and environment stress. In the future, farmers and green keepers will be able to have smart-farming and smart-management with MASA system.

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The Morphologic-Aware Self Adaptive (MASA) System with Image Analysis Technique for Zoysiagrass Managements
Plant Breed. Biotech.. ;4(4):495-501.   Published online November 30, 2016
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

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Include:
The Morphologic-Aware Self Adaptive (MASA) System with Image Analysis Technique for Zoysiagrass Managements
Plant Breed. Biotech.. ;4(4):495-501.   Published online November 30, 2016
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