Acknowledgement
이 연구는 2021년도 충청남도농업기술원 기본연구과제로 수행되었다.
References
- Choi JM, Kim JH, Choo HK, Park CL, Chae HJ. 2022. Machine learning-based agricultural genetic resources analysis platform. KIISE Transactions on Computing Practices 28:57-62. [in Korean] https://doi.org/10.5626/KTCP.2022.28.1.57
- Hwang MJ, Jeong HJ, Cho JH. 2018. The plan of stabilizing Gyeongnam Chung-yang green pepper farm income. Journal of the Korea Academia-Industrial Cooperation Society 19:387-396. [in Korean] https://doi.org/10.5762/KAIS.2018.19.2.387
- Jang HD, Kim SH. 2016. Analysis of the economic value of the production of lily bulbs in Korea. Korean Journal of Agricultural Science 43:481-495. [in Korean] https://doi.org/10.7744/kjoas.20160051
- Jeon JM, Jang DH. 2020. A study on factors influencing agricultural income of peach farmers. Journal of Industrial Economics and Business 33:1201-1223. [in Korean]
- Jeon JY, Yoo CH, Park JK. 2016. Analysis on the agricultural income variability of rice and spicy vegetables. Journal of Rural Development 39:23-48. [in Korean]
- Lee GT, Lee GO. 2021. A study on the estimation of consumption expenditure of foodservice customers by machine learning algorithm. International Journal of Tourism and Hospitality Research 35:161-173. [in Korean]
- Li S, Wu P, Guan Z. 2021.\ Machine learning techniques for strawberry yield forecasting. AAEA Conference Paper, Annual Meeting, July 26-27, Kansas City, Missouri, USA.
- Oh JW, Kim HK, Kim IT. 2019. Design and implementation of fruit harvest time predicting system based on machine learning. Korean Journal of Smart Media Science 8-1:74-81. [in Korean]
- Soon BM, Cho SM, Kim SH. 2021. Impact of a reduction in the quality of shine muscat on the grape variety market using the Armington model. Korean Journal of Agricultural Science 48:911-926. [in Korean] https://doi.org/10.7744/KJOAS.20210077