Browse > Article
http://dx.doi.org/10.5656/KSAE.2020.02.1.061

Present Status of Smart Greenhouses Growing Fruit Vegetables in Korea: Focusing Management of Environmental Conditions and Pests in Greenhouses  

Park, Young-gyun (Entomology program, Department of Agricultural Biotechnology, Seoul National University)
Baek, Sunghoon (Entomology program, Department of Agricultural Biotechnology, Seoul National University)
Im, Jae Seong (Crop Protection R&D Center, Farmhannong Co., Ltd.)
Kim, Min-Jung (Entomology program, Department of Agricultural Biotechnology, Seoul National University)
Lee, Joon-Ho (Entomology program, Department of Agricultural Biotechnology, Seoul National University)
Publication Information
Korean journal of applied entomology / v.59, no.1, 2020 , pp. 55-64 More about this Journal
Abstract
Smart greenhouses are primarily used for growing fruits and vegetables, such as sweet peppers, tomatoes, strawberries. Although the number of smart greenhouses has been increasing exponentially, no studies have been performed to evaluate the state of smart greenhouses in Korea. Therefore, this study was conducted to determine current state of smart greenhouses with regard to greenhouse specifications, crop growing methods, pests, and user satisfaction in Korea. Contact information for smart greenhouses was provided by the officials of local agricultural research and extension services. This survey was conducted by visiting each greenhouse. Results showed that approximately 50% of surveyed smart greenhouses were between 3,300 ㎡ and 6,600 ㎡. The most frequently chosen method for pest control was chemical pesticides (97.1%). Powdery mildew and gray mold comprised 54.4% and 33.8% of the crop diseases, respectively. All tomato greenhouse farmers considered whiteflies the most problematic pest. In contrast, 76.5% and 70.6% of sweet pepper farmers believed thrips and aphids posed significant threats, respectively. The mean satisfaction score was 7.5 out of 10 points, with 10 being "extremely satisfied". These results will aid in decision making with respect to the management of current smart greenhouses and the design of future smart farms in Korea.
Keywords
Cultural method; Smart farm; Greenhouse; ICT; Pest;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Adrian, A.M., Norwood, S.H., Mask, P.L., 2005. Producers' perceptions and attitudes toward precision agriculture technologies. Comput. Electron. Agric. 48, 256-271.   DOI
2 Chaudhary, D.D., Nayse, S.P., Waghmare, L.M., 2011. Application of wireless sensor networks for greenhouse parameter control in precision agriculture. International Journal of Wireless & Mobile Networks 3, 140-149.   DOI
3 Butcher, M.R., Penman, D.R., Scott, R.R., 1989. The relationship between two-spotted spider mite and strawberry yield in Canterbury. New Zealand journal of Experimental Agriculture 15, 367-370.   DOI
4 Choe, Y.-C., Jang, I.-H., 2019. Smart farm in the fourth industrial revolution era. J. Korean Inst. Commun. Sci. 36, 9-16.
5 Guzman-Plazola, R.A., Davis, R.M., Marois, J.J., 2003. Effects of relative humidity and high temperature on spore germination and development of tomato powdery mildew (Leveillula taurica). Crop Prot. 22, 1157-1168.   DOI
6 Jarvis, W.R., 1989. Managing diseases in greenhouse crops. Plant Dis. 73, 190-194.   DOI
7 Kim, J.S., Lee, S.H., Choi, H.S., Kim, M.K., Kwak, H.R., Nam, M., Kim, J.S., Choi, G.S., Cho, J.D., Cho, I.S., Chung, B.N., 2011. Occurrence of virus diseases on major crops in 2010. Res. Plant Dis. 17, 334-341.   DOI
8 Kim, S.E., Lee, S.D., Sim, S.Y., Kim, Y.S., 2012. Eco-friendly control of whiteflies by two-fluid fogging system. J. Bio-Environment Control. 21, 120-126.
9 Kim, G.-D., Lee, S., Kang, E.-H., Shin, Y.-G., Jeon, J.-Y., Heo, N.-Y., Lee, H.-S., 2013. The pests survey of paprika export complexes and packing house in Korea. Korean J. Agri. Sci. 40, 93-99.   DOI
10 Kim, Y., Park, J., Park, Y., 2016a. An analysis of the current status and success factors of smart farms. Korea Rural Economic Institute (KREI) research report, Naju, Korea.
11 Kim, Y., Seo, D.S., Park, J., Park, Y., 2016b. An analysis of current status and development direction of smart farms. Korea Rural Economic Institute(KREI) research report, Naju, Korea.
12 Kim, D.-Y., Kim, Y.B., 2019. Key ICT technologies in the 4th industrial revolution era: big data, artificial intelligence, and cloud technology trends. J. Inform. Proc. 26, 7-17.
13 Korean Statistical Information Service (KOSIS), 2010. Farm households population by sex & age. Agriculture, Forestry and Fishery Survey. http://www.kosis.kr/
14 Korean Statistical Information Service (KOSIS), 2018. Farm households population by sex & age. Agriculture, Forestry and Fishery Survey. http://www.kosis.kr/
15 Lee, J.-H., Park, Y., Baek, S., Im, J.S., Kim, M. J., Nam, H., Park, Y., Kim, K., 2019. Development of eco-friendly management methods for pest occurred in the fruit vegetables of smart farms. Rural Development Administration (RDA) research report, Jeonju, Korea.
16 Oliveira, M.R.V., Henneberry, T.E., Anderson, P., 2001. History, current status, and collaborative research projects for Bemisia tabaci. Crop Prot. 20, 709-723.   DOI
17 McBratney, A., Whelan, B., Ancev, T., Bouma, J., 2005. Future directions of precision agriculture. Precision agriculture 6, 7-23.   DOI
18 Ministry of Agriculture, Food and Rural Affairs (MAFRA), 2016. Convergence of agriculture and ICT, spread of Korean smart farm. Press release, Sejong, Korea.
19 Ministry of Agriculture, Food and Rural Affairs (MAFRA), Rural Development Adminstration (RDA), Korea Agency of Education, Promotion & Information Service in Food, Agriculture, Forestry & Fisheries (EPIS), 2016. Leading case according to types of smart farm told in agriculture field. Press release, Sejong, Korea.
20 Ministry of Agriculture, Food and Rural Affairs (MAFRA), 2018. Innovation and growth of agriculture, Find the road in smart farm. Press release, Sejong, Korea.
21 Park, J.J., Arabnia, H.R., Kim, C., Shi, W., Gil, J. M., 2013. Grid and pervasive computing. 8th International Conference, GPC 2013 and Colocated Workshops, Seoul, Korea.
22 R Core Team, 2019. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
23 SAS Institute, 2013. SAS user's guide; statistics, version 9.4ed. SAS Institute, Cary, NC.
24 Steiner, M.Y., Goodwin, S., 2004. Getting a grip on thrips in strawberries. In V International Strawberry Symposium, 708, 109-114.
25 Xu, X.-M., 1999. Effects of temperature on the latent period of the rose powdery mildew pathogen, Sphaerotheca pannosa. Plant Pathol. 48, 662-667.   DOI
26 Steiner, M.Y., Spohr, L.J., Goodwin, S., 2011. Relative humidity controls pupation success and dropping behaviour of western flower thrips, Frankliniella occidentalis (Pergande) (Thysanoptera: Thripidae). Aust. J. Entomol. 50, 179-186.   DOI
27 Trumble, J., Oatman, E., Voth, V., 1983. Thresholds and sampling for aphids in strawberries. Calif. Agric. 37, 20-21.
28 Ullah, M.S., Lim, U.T., 2015. Life history characteristics of Frankliniella occidentalis and Frankliniella intonsa (Thysanoptera: Thripidae) in constant and fluctuating temperatures. J. Econ. Entomol. 108, 1000-1009.   DOI
29 Yeo, H., 2019. Utilization of big data in foreign agriculture. World Agriculture 226, 37-57.
30 Glick, E., Levy, Y., Gafni, Y., 2009. The viral etiology of tomato yellow leaf curl disease - a review. Plant Protect. Sci. 45, 81-97.