Earticle

초록

영어

Nowadays, the science of intelligence is on the front lines and a crucial issue in agriculture sectors. Artificial intelligence (AI) technology in floriculture is getting more popular and demanding throughout the world. To meet the global demand and establish modern industries, the application of artificial intelligence is necessary. Therefore, the objectives of this study are to analyze the application of artificial intelligence in floriculture and provide up-to-date information in related disciplines. With the continuous progress of artificial intelligence and improvements in plant biotechnology, transportation, and marketing strategies, floriculture has reached a historical maximum focus on mobility and competitiveness. AI is needed to have a big impact in the sector where currently most products are grown in the traditional way and monitored manually. However, it is easy to monitor individual plants, temperature and weather conditions, as well as soil nutrients, to increase flower productivity by taking the appropriate initiatives with the help of AI. Furthermore, waste of produce is much in this sector, as still now we do not have a better supply chain. Flowers are physically passed through auction houses on their fixed routes from growers to customers. Nevertheless, it can be minimized using AI in making flower products and their transportation potential. Finally, this paper will assess how artificial intelligence can be used in increasing flower production more efficiently and improving the floriculture industry with the augmentation of flower products. The application of AI in floriculture industries would facilitate identifying the future research direction.

목차

Abstract
1. Introduction
2. Global Trend in Floriculture Market
3. Biggest Producers of Cut Flowers
4. Present Status of Floriculture in South Korea
5. Applications of AI in Floriculture Industry
5.1 Weather Forecasting
5.2 Soil Monitoring, Irrigation and Nutrient Management
5.3 Individual Plant and Pest Monitoring
5.4 Weed Monitoring and Control for Reducing Herbicide Usage
5.5 Minimizing Productivity Loss
5.6 Business Management Lowering Labor Costs
5.7 Supporting Decision-Making
5.8 Cut Flower and Flower-Based Products
6. Conclusions
Acknowledgement
References

키워드

저자

• Saleha Farjana [ Dr., Department of Horticulture, Chungnam National University, Daejeon 34134, Korea ]
• Mohammod Ali [ Postdoctoral Researcher, Department of Agricultural Machinery Engineering, Chungnam National University, Daejeon 34134, Korea ]
• Yongsam Jeon [ PhD student, Department of Horticulture, Chungnam National University, Daejeon 34134, Korea ]
• Do-Hyeon Nam [ MS student, Department of Smart Agriculture Systems, Chungnam National University, Daejeon 34134, Korea ]
• Sun-Ok Chung [ MS student, Department of Smart Agriculture Systems, Chungnam National University, Professor, Department of Agricultural Machinery Engineering, Chungnam National University, Daejeon 34134, Korea ]
• Geung-Joo-Lee [ Professor, Department of Horticulture and Smart Agriculture Systems, Chungnam National University, Daejeon 34134, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380