Cultivation Environment Control and Plant Growth Monitoring in Greenhouse using Sensors, Communication Network and Data Processing Technologies : A review

Seung-Yun  Baek1   Yong-Joo  Kim12   Nam-Gyu  Lee3,*   

1Department of Smart Agriculture Systems, Graduate School, Chungnam National University, Daejeon, Republic of Korea
2Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon, Republic of Korea
3Department of Material & Component Convergence R&D Center, Korea Construction Equipment Technology Institute, Gunsan, Republic of Korea

Abstract

The world population growth is increasing the demand for food production. Moreover, declining labor force and rising production costs in rural areas suggests the need for new methods of food production. Smart farming is a concept that may use sensors and related technologies to overcome the current challenges of food production. Smart farming is largely classified into soil management, environmental control, and plant growth monitoring, and each item uses various sensors, platforms, and related technologies. The review aims to identify the sensors, embedded system platforms, communication network technologies and the data processing technologies of greenhouse. Cloud and big data computing technologies for processing large amounts of data, and data are mainly used for the management of the recent greenhouse. Moreover, recent studies have confirmed that the use of artificial intelligence technology to maintain or improve the environment of smart agriculture has become commonplace. In the future study, it is necessary to develop technologies applicable to greenhouses through the expansion of big data and AI technologies mainly used for plant monitoring.

Figures & Tables