Mobile QR Code QR CODE : Korean Journal of Air-Conditioning and Refrigeration Engineering
Korean Journal of Air-Conditioning and Refrigeration Engineering

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleKorean J. Air-Cond. Refrig. Eng.
  • Open Access, Monthly
Open Access Monthly
  • ISSN : 1229-6422 (Print)
  • ISSN : 2465-7611 (Online)

References

1 
Walter, A., Finger, R., Huber, R., and Buchmann, N., 2017, Smart Farming is Key to Developing Sustainable Agriculture, Proceedings of the National Academy of Sciences, Vol. 114, No. 24, pp. 6148-6150.DOI
2 
Saiz-Rubio, V. and Rovira-Más, F., 2020, From Smart Farming Towards Agriculture 5.0: A Review on Crop Data Management, Agronomy, Vol. 10, No. 2, 207.DOI
3 
Rural Development Administration, 2018, Smart Greenhouse Environment Management Guidelines.URL
4 
Korea Rural Economic Institute, 2024, Agricultural Outlook 2024-1, Agriculture & Rural Areas in an Era of Uncertainty: Challenges and the Future.URL
5 
Ministry of Agriculture, Food and Rural Affairs, 2021, 2050 Agriculture-Food Carbon Neutrality Strategy.URL
6 
Akkem, Y., Biswas, S. K., and Varanasi, A., 2023, Smart Farming Using Artificial Intelligence: A Review, Engineering Applications of Artificial Intelligence, Vol. 120, pp. 105899.DOI
7 
Durai, S. K. S. and Shamili, M. D., 2022, Smart Farming Using Machine Learning and Deep Learning Techniques, Decision Analytics Journal, Vol. 3, pp. 100041.DOI
8 
Apat, S. K., Mishra, J., Raju, K. S., and Padhy, N., 2022, The Robust and Efficient Machine Learning Model for Smart Farming Decisions and Allied Intelligent Agriculture Decisions, Journal of Integrated Science and Technology, Vol. 10, No. 2, pp. 139-155.URL
9 
Pereira, F., Caetano, N. S., and Felgueiras, C., 2022, Increasing Energy Efficiency with a Smart farm: An Economic Evaluation, Energy Reports, Vol. 8, pp. 454-461.DOI
10 
Kakraliya, S. K., Jat, H. S., Singh, I., Gora, M. K., Kakraliya, M., Bijarniya, D., and Jat, M. L., 2022, Energy and Economic Efficiency of Climate-smart Agriculture Practices in a rice: Wheat Cropping System of India, Scientific Reports, Vol. 12, No. 1, pp. 8731.DOI
11 
Rabea, K., Michailos, S., Udeh, G. T., Park, J., Lee, Y., Kim, S., and Pourkashanian, M., 2023, A Comprehensive Technoeconomic and Environmental Evaluation of a Hybrid Renewable Energy System for a Smart Farm in South Korea, International Journal of Energy Research, Vol. 1, p. 4951589.DOI
12 
Fathallah, K., Abid, M. A., and Ben Hadj-Alouane, N., 2020, Enhancing Energy Saving in Smart Farming Through Aggregation and Partition Aware IoT Routing Protocol, Sensors, Vol. 20, No. 10, p. 2760.DOI
13 
Crawley, D. B., Lawrie, L. K., Pedersen, C. O., and Winkelmann, F. C., 2000, Energy Plus: Energy Simulation Program, ASHRAE Journal, Vol. 42, No. 4, pp. 49-56.URL
14 
Shin, H., Jo, S. -K., and Kim, S. -H., 2021, Optimal Control of Ventilation Fan in Smart Farm Using EnergyPlus, The Journal of Korean Institute of Communications and Information Sciences, Vol. 46, No. 12, pp. 2411-2418URL
15 
Choi, M. S., 2021, Smart Farm Control System for Improving Energy Efficiency, Journal of Digital Convergence, Vol. 19, No, 12, pp. 331-337.DOI
16 
Adil, M., Ullah, R., Noor, S., and Gohar, N., 2022, Effect of Number of Neurons and Layers in an Artificial Neural Network for Generalized Concrete Mix Design, Neural Computing and Applications, Vol. 34, No. 11, pp. 8355-8363.DOI
17 
Raut, P. and Dani, A., 2020, Correlation between Number of Hidden Layers and Accuracy of Artificial Neural Network, In Advanced Computing Technologies and Applications: Proceedings of 2nd International Conference on Advanced Computing Technologies and Applications—ICACTA 2020, Springer Singapore, pp. 513-521.DOI
18 
García-Vázquez, F., Ponce-González, J. R., Guerrero-Osuna, H. A., Carrasco-Navarro, R., Luque-Vega, L. F., Mata-Romero, M. E., and Díaz-Flórez, G., 2023, Prediction of Internal Temperature in Greenhouses using the Supervised Learning Techniques: Linear and Support Vector Regressions, Applied Sciences, Vol. 13, No. 14, p. 8531.DOI
19 
Park, S. H., Jang, Y. S., and Kim, E. J., 2017, Simple Modeling of Floor Heating Systems based on Optimal Parameter Settings, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 29, No. 9, pp. 472-481.DOI
20 
Park, S. H., Jang, Y. S., and Kim, E. J., 2018, Parameter Optimization of an RC Model for Simulating Floor Heating and Building Envelop Systems, Korean Journal of Air-Conditioning and Refrigeration Engineering, Vol. 30, No. 8, pp. 366-375.URL
21 
Fletcher, R., 1994, An Overview of Unconstrained Optimization, Algorithms for Continuous Optimization: The State of the Art, pp. 109-143.URL