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2025 Vol.37, Issue 3 Preview Page

Research Article

Design and Implementation of an Integrated Control System for Smart Agriculture in Open-Field Food Crops
Chi-Yong An1
,
Tae-An Kang2
,
Hoejeong Jeong3
,
You-Jin Park3
,
Hongseok Lee3
,
Jongsoo Ryu4
,
Hyungjin Bae5
,
Chulmin Song6
,
Jinki Park3*
1Master’s Student, Department of Rural Engineering, Chungbuk National University, Cheongju 28644, Korea
2Ph.D. Student, Department of Applied Biosciences, Kyungpook National University, Daegu 41566, Korea
3Researcher, Department of Upland Crop Research and Development, National Institute of Crop and Food Science, Rural Development Administration, RDA, Miryang 50424, Korea
4Senior Researcher, Department of Upland Crop Research and Development, National Institute of Crop and Food Science, Rural Development Administration, RDA, Miryang 50424, Korea
5Professional Researcher, Department of Upland Crop Research and Development, National Institute of Crop and Food Science, Rural Development Administration, RDA, Miryang 50424, Korea
6Associate Professor, Department of Rural Engineering, Chungbuk National University, Cheongju 28644, Korea
*Corresponding Author
30 September 2025. pp. 219-234
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Abstract

Faced with multifaceted challenges such as climate change, an aging agricultural population, labor shortages, and declining arable land, the open-field cultivation of staple crops remains a crucial production base in Korea. However, it is highly vulnerable to external factors such as weather variability, pest outbreaks, and soil moisture fluctuations, necessitating precision management based on real-time data. Despite this need, current smart agriculture technologies have primarily evolved for greenhouse cultivation, and the development of integrated technologies and systems tailored to open-field environments remains limited. This study aims to address these limitations by designing and implementing a smart agriculture integrated control system optimized for open-field staple crop production. The system is built on a hybrid wireless communication infrastructure, including Wi-Fi, LTE, and LoRa, which enables real-time collection, transmission, and storage of data from diverse technological components such as weather, soil, moisture, pests, agricultural machinery, and water resources. Through an integrated dashboard, the platform provides visualization, automated control, alerts, and long-term data analysis. Core functionalities, including climate and soil sensor networks, autonomous agricultural machinery control, digital precision water management, and AI-based pest monitoring with drone-based control, were designed and integrated into an operational control interface to demonstrate the feasibility of data communication, monitoring, and remote control in open-field smart agriculture. Unlike a simple aggregation of individual technologies, the developed system operates as an interconnected, integrated platform, enabling data-driven automation and precision across all growth stages from sowing to harvest. The proposed platform has strong potential to serve as key infrastructure for future digital food security strategies and demonstrates substantial field applicability and scalability for open-field smart agriculture.

Keywords
Food crop
Integrated control system
Open-field
Precision agriculture
Smart agriculture technology
References
1

Boursianis, A. D., Papadopoulou, M. S., Diamantoulakis, P., Liopa-Tsakalidi, A., Barouchas, P., Salahas, G., Karagiannidis, G. (2022) Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: A comprehensive review. Internet Things 18:100187.

10.1016/j.iot.2020.100187
2

Karunathilake, E. M. B. M., Le, A. T., Heo, S., Chung, Y. S., Mansoor, S. (2023) The path to smart farming: Innovations and opportunities in precision agriculture. Agriculture 13:1593.

10.3390/agriculture13081593
3

Kim, S., Eom, J., Zhang, Y., Waldhoff, S. (2025) The impact of climate change on Korea’s agricultural sector under the national self-sufficiency policy. PLoS One.

10.1371/journal.pone.031374839854609PMC11759398
4

López-Morales, J. A., Martínez, J. A., Skarmeta, A. F. (2020) Digital transformation of agriculture through the use of an interoperable platform. Sensors 20:1153.

10.3390/s2004115332093147PMC7070948
5

Marios, S., Georgiou, J. (2017) Precision agriculture: Challenges in sensors and electronics for real-time soil and plant monitoring. In 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) (pp.1-4). IEEE.

10.1109/BIOCAS.2017.8325180
6

Mba, C., Guimaraes, E. P., Ghosh, K. (2012) Re-orienting crop improvement for the changing climatic conditions of the 21st century. Agric Food Secur 1:7.

10.1186/2048-7010-1-7
7

Mondal, A. M., Rehena, Z. (2018) IoT based intelligent agriculture field monitoring system. In 2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp.625-629). IEEE.

10.1109/CONFLUENCE.2018.8442535
8

Niu, G., Masabni, J. (2018) Plant production in controlled environments. Horticulturae 4:28.

10.3390/horticulturae4040028
9

Ponnusamy, V., Natarajan, S. (2021) Precision agriculture using advanced technology of IoT, unmanned aerial vehicle, augmented reality, and machine learning. In Smart Sensors for Industrial Internet of Things: Challenges, Solutions and Applications (pp.207-229). Cham: Springer International Publishing.

10.1007/978-3-030-52624-5_14
10

Pretty, J., Sutherland, W. J., Ashby, J., Auburn, J., Baulcombe, D., Bell, M., Bentley, J., Bickersteth, S., Brown, K., Burke, J., Campbell, H., Chen, K., Crowley, E., Crute, I., Dobbelaere, D., Edwards-Jones, G., Funes-Monzote, F., Godfray, H. C. J., Griffon, M., Gypmantisiri, P., Haddad, L., Halavatau, S., Herren, H., Holderness, M., Izac, A.-M., Jones, M., Koohafkan, P., Lal, R., Lang, T., McNeely, J., Mueller, A., Nisbett, N., Noble, A., Pingali, P., Pinto, Y., Rabbinge, R., Ravindranath, N. H., Rola, A., Roling, N., Sage, C., Settle, W., Sha, J. M., Shiming, L., Simons, T., Smith, P., Strzepeck, K., Swaine, H., Terry, E., Tomich, T. P., Toulmin, C., Trigo, E., Twomlow, S., Vis, J. K., Wilson, J., Pilgrim, S. (2010). The top 100 questions of importance to the future of global agriculture. Int J Agric Sustain 8:219-236.

10.3763/ijas.2010.0534
11

Rehman, A., Saba, T., Kashif, M., Fati, S. M., Bahaj, S. A., Chaudhry, H. (2022) A revisit of internet of things technologies for monitoring and control strategies in smart agriculture. Agronomy 12:127.

10.3390/agronomy12010127
12

Sekaran, K., Meqdad, M. N., Kumar, P., Rajan, S., Kadry, S. (2020) Smart agriculture management system using internet of things. TELKOMNIKA 18:1275-1284.

10.12928/telkomnika.v18i3.14029
13

Sreekantha, D. K., Kavya, A. M. (2017) Agricultural crop monitoring using IOT-a study. In 2017 11th International Conference on Intelligent Systems and Control (ISCO) (pp.134-139). IEEE.

10.1109/ISCO.2017.7855968
14

Stehr, N. J. (2015) Drones: The newest technology for precision agriculture. Nat Sci Educ 44:89-91.

10.4195/nse2015.04.0772
15

Tsouros, D. C., Bibi, S., Sarigiannidis, P. G. (2019) A review on UAV-based applications for precision agriculture. Information 10:349.

10.3390/info10110349
Information
  • Publisher :Agriculture and Life Sciences Research Institute, Kangwon National University
  • Publisher(Ko) :None
  • Journal Title :Journal of Agricultural, Life and Environmental Sciences
  • Volume : 37
  • No :3
  • Pages :219-234
  • Received Date : 2025-08-14
  • Revised Date : 2025-08-25
  • Accepted Date : 2025-08-27
  • DOI :https://doi.org/10.22698/jales.20250018
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