References
- Adrian, A.M., Norwood, S.H., Mask, P.L., 2005. Producers' perceptions and attitudes toward precision agriculture technologies. Comput. Electron. Agric. 48, 256-271. https://doi.org/10.1016/j.compag.2005.04.004
- 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. https://doi.org/10.5121/ijwmn.2011.3113
- 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. https://doi.org/10.1080/03015521.1987.10425583
- Choe, Y.-C., Jang, I.-H., 2019. Smart farm in the fourth industrial revolution era. J. Korean Inst. Commun. Sci. 36, 9-16.
- Glick, E., Levy, Y., Gafni, Y., 2009. The viral etiology of tomato yellow leaf curl disease - a review. Plant Protect. Sci. 45, 81-97.
- 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. https://doi.org/10.1016/S0261-2194(03)00157-1
- Jarvis, W.R., 1989. Managing diseases in greenhouse crops. Plant Dis. 73, 190-194. https://doi.org/10.1094/PD-73-0190
- 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. https://doi.org/10.5423/RPD.2011.17.3.334
- 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.
- 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. https://doi.org/10.7744/cnujas.2013.40.2.093
- 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.
- 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.
- 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.
- Korean Statistical Information Service (KOSIS), 2010. Farm households population by sex & age. Agriculture, Forestry and Fishery Survey. http://www.kosis.kr/
- Korean Statistical Information Service (KOSIS), 2018. Farm households population by sex & age. Agriculture, Forestry and Fishery Survey. http://www.kosis.kr/
- 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.
- McBratney, A., Whelan, B., Ancev, T., Bouma, J., 2005. Future directions of precision agriculture. Precision agriculture 6, 7-23. https://doi.org/10.1007/s11119-005-0681-8
- Ministry of Agriculture, Food and Rural Affairs (MAFRA), 2016. Convergence of agriculture and ICT, spread of Korean smart farm. Press release, Sejong, Korea.
- 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.
- Ministry of Agriculture, Food and Rural Affairs (MAFRA), 2018. Innovation and growth of agriculture, Find the road in smart farm. Press release, Sejong, Korea.
- 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. https://doi.org/10.1016/S0261-2194(01)00108-9
- 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.
- R Core Team, 2019. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/
- SAS Institute, 2013. SAS user's guide; statistics, version 9.4ed. SAS Institute, Cary, NC.
- Steiner, M.Y., Goodwin, S., 2004. Getting a grip on thrips in strawberries. In V International Strawberry Symposium, 708, 109-114.
- 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. https://doi.org/10.1111/j.1440-6055.2010.00798.x
- Trumble, J., Oatman, E., Voth, V., 1983. Thresholds and sampling for aphids in strawberries. Calif. Agric. 37, 20-21.
- 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. https://doi.org/10.1093/jee/tov035
- Xu, X.-M., 1999. Effects of temperature on the latent period of the rose powdery mildew pathogen, Sphaerotheca pannosa. Plant Pathol. 48, 662-667. https://doi.org/10.1046/j.1365-3059.1999.00385.x
- Yeo, H., 2019. Utilization of big data in foreign agriculture. World Agriculture 226, 37-57.