IoT Based Greenhouse Project

Discover the use of IoT technology in greenhouse agriculture and its impact on monitoring the environment. Explore articles, research papers, and studies on IoT-based greenhouse projects.

Running head: ANNOTATED BIBLIOGRAPHY
Annotated Bibliography
Name of the Student
Name of the University
Author Note

1ANNOTATED BIBLIOGRAPHY
Topic: IoT Based Greenhouse Project
Dan, L. I. U., Xin, C., Chongwei, H., & Liangliang, J. (2015, December).
Intelligent agriculture greenhouse environment monitoring system based
on IOT technology. In Intelligent Transportation, Big Data and Smart City
(ICITBS), 2015 International Conference on (pp. 487-490). IEEE.
In recent years the IoT based system has attracted various sectors, and agriculture is
one of them. In agriculture, this system is used for monitoring the greenhouse environment.
In this selected article the authors have demonstrated the system which they have used for the
greenhouse environment monitoring. The core component of this system is the CC2530 chip,
and the whole system is based on the ZigBee technology. In this system, the control nodes
and the wireless sensors take the CC2530F256 chip as the core which has control over the
environmental data. This IoT based system for monitoring the greenhouse environment is
capable of front-end data acquisition, data transmission, data processing and the data
reception. The gathered data by this device is pushed to the computer through the serial port.
While the data is pushed to the computer staffs can process this data and can view real-time
data for controlling other things such as fans, temperature and the amount of greenhouse gas.
Guo, T., & Zhong, W. (2015, August). Design and implementation of the
span greenhouse agriculture Internet of Things system. In Fluid Power and
Mechatronics (FPM), 2015 International Conference on (pp. 398-401).
IEEE.
This paper discusses the new structure of the integrated data acquisition system. It
also presents an intelligent control system on the agriculture. The main aim of this system is

2ANNOTATED BIBLIOGRAPHY
improving the production effectiveness and the efficiency of the agriculture. In this paper, the
authors have presented a system which includes the function of the agricultural intelligent
frequency conversation irrigation and automatic controlling of the greenhouse gas level. This
system is also capable of processing the data in real time. The authors have set the
environmental monitoring sensors in every greenhouse premises. This sensor not only detects
the greenhouse gas levels but also measures soil temperature, humidity, soil moisture and air
temperature. This all information are send to the system admin in real-time basis so that
admin can take proper actions.
Li, G., Zhang, W., & Zhang, Y. (2014). A design of the IOT gateway for
agricultural greenhouse. Sensors & Transducers, 172(6), 75.
In this article, the authors have discussed a particular method which is used for realizing the
transmission between the internet and the wireless network sensors. This article has also
discussed the IoT and defied the IoT as a gateway in the greenhouse monitoring system. To
gather the data from the greenhouse monitoring IoT device authors have presented both the
online and the offline solutions. For transmitting the data online, this system supports the
methods of the Wi-Fi, LAN, EDGE, GPRS, 3G and some other methods. In the offline cases,
the data is stored locally within the system. This discussed IoT gateway also uses the μC/OS-
III as an embedded operating system while the STM32 is used by this system as a multiple
control unit. As per the authors, this system supports control and detection of the greenhouse
gases in real-time and has the ability of automation of the greenhouse gas monitoring.

3ANNOTATED BIBLIOGRAPHY
Pallavi, S., Mallapur, J. D., & Bendigeri, K. Y. (2017, December). Remote
sensing and controlling of greenhouse agriculture parameters based on
IoT. In 2017 International Conference on Big Data, IoT and Data Science
(BID) (pp. 44-48). IEEE.
In this paper, the author has stated that IoT has gained importance in the present
situation because of its varieties of application. The IoT has gained this much amount of
importance because of its smart and remote approach. These remote agricultures provides
smart agriculture in the farming. In this paper, the author has proposed a remote sensing
system for greenhouse agriculture. The main planning of the authors is controlling the soil
moisture, sunlight, temperature and the carbon-di-oxide. In this system according to the value
of the soil’s moisture the windows or the doors is controlled for adjusting the level of the
greenhouse gas. By using this system, the main objective of the authors is to increasing the
yield and providing more organic farming.
Kodali, R. K., Jain, V., & Karagwal, S. (2016, December). IoT based smart
greenhouse. In Humanitarian Technology Conference (R10-HTC), 2016
IEEE Region 10 (pp. 1-6). IEEE.
In this article, the main aim of the authors is to implementing modern technologies in
the current agriculture practices for better yield. This paper provides an idea about a smart
greenhouse model which will help the farmers to do the farm-related works automatically.
The greenhouse is an important factor in the agricultural process. By using this model
irrigation of the agricultural field is carried out by automatic drip irrigation which helps to
measure the moisture level of the soil that is important for maintaining the level of the
greenhouse gas. In this system, there is also a threshold for the moisture level of the soil
which helps to maintain the perfect amount of water that is required by the plants. To

4ANNOTATED BIBLIOGRAPHY
maintain the level of the greenhouse gas properly, this system also uses the proper
wavelength of the sunlight, ultrasonic sensor, bee-hive boxes some minerals such as
phosphorus, nitrogen and the potassium. Together this becomes an ultimate IoT solution for
the smart greenhouse.
Ye, J., Chen, B., Liu, Q., & Fang, Y. (2013, June). A precision agriculture
management system based on Internet of Things and WebGIS.
In Geoinformatics (GEOINFORMATICS), 2013 21st International
Conference on (pp. 1-5). IEEE.
In this paper, the authors have described the application of the IoT and the WebGIS in
the farming sector for precision agriculture. The authors have chosen an ecology farm to
present the example of the new precision agriculture management system based on the
WebGIS and the IoT. In this case, the authors have designed a total of four architecture for
the precision agriculture management system. These four architectures are the agriculture
management system, IoT infrastructure platform, spatial information infrastructure platform
and the mobile client. The users of the precision agriculture management system will be able
to manage the production of the agriculture while the method of the module integration and
the open source software can assist to reduce the cost of development and increases the
efficiency of the system.

5ANNOTATED BIBLIOGRAPHY
Dlodlo, N., & Kalezhi, J. (2015, May). The internet of things in agriculture
for sustainable rural development. In Emerging Trends in Networks and
Computer Communications (ETNCC), 2015 International Conference on (pp.
13-18). IEEE.
In this paper, the author has discussed the agricultural issues in rural areas. According
to the authors, this type of issues occurs in the rural because of the connectivity, education,
health, transportation, water etc. The main intention of the authors is to research how the IoT
or the internet of things has contributed towards solving the issues of the agricultural
problems which has been reflected through this paper. This paper has successfully identified
the examples of the IoT devices that has solution regarding the agricultural problems which
the rural area generally face. These problems are regarding crop farming, wildlife
management, weather forecasting, livestock farming, rural financing and market
identification.
Fajrin, N., Taufik, I., Ismail, N., Kamelia, L., & Ramdhani, M. A. (2018,
January). On the Design of Watering and Lighting Control Systems for
Chrysanthemum Cultivation in Greenhouse Based on Internet of Things.
In IOP Conference Series: Materials Science and Engineering (Vol. 288, No.
1, p. 012105). IOP Publishing.
In this article, the author has discussed the importance of the moisture and lights in
the in the farming process. Here the main aim of the author is to develop a system with
automatic control of the lighting and watering. Additionally, the system will also monitor the
moisture of the soil in IoT based greenhouse. This paper actually combines two main things
which are the control system and the internet of things. From the effort of the authors, they

6ANNOTATED BIBLIOGRAPHY
got temporary results from the research which were the website based pump control and the
application based lighting control. The authors have tested the applications and found that the
application is compatible with the Android and with the iOS. Also, this system supports the
several browsers and the windows OS. Also, this system supports wireless connectivity with
a good speed of 58 Mbps.
Carrasquilla-Batista, A., Chacón-Rodríguez, A., & Solórzano-Quintana, M.
(2016, November). Using IoT resources to enhance the accuracy of
overdrain measurements in greenhouse horticulture. In Central American
and Panama Convention (CONCAPAN XXXVI), 2016 IEEE 36th (pp. 1-5).
IEEE.
In this article, the authors have discussed the change in the climates and how it is
affecting the process of food production and agriculture. The authors have identified that in
this type of situations the Greenhouse horticulture is an efficient way of agriculture. This
process of the greenhouse horticulture can significantly reduce the negative effects due to the
climate changes. The main problem with the greenhouse horticulture is that it is very much
complex to manage, but the authors have also found the solution for it which is the IoT.
According to the authors when the capabilities of the IoT systems are integrated with the
Greenhouse horticulture, it provides a separate platform that helps to decide when to
irrigation and provides information about nutrients and moisture requirements. Thus the
system can help the farmers in the effective farming process using greenhouse horticulture.

7ANNOTATED BIBLIOGRAPHY
Khattab, A., Abdelgawad, A., & Yelmarthi, K. (2016, December). Design
and implementation of a cloud-based IoT scheme for precision agriculture.
In Microelectronics (ICM), 2016 28th International Conference on (pp. 201-
204). IEEE.
In this paper, the authors have discussed the precision agriculture. According to the
authors to create an environment of the precision agriculture advantages of IoT must be used
as it optimises the production uniformity and efficiency across the fields of agriculture. The
IoT system mitigates the negative impacts of the environments and improves the quality of
the crops. The authors have presented a customised IoT architecture for the precision
agriculture applications. This is a three layer architecture which collects the data that are
needed for cloud based backend system. In this back-end system this data is processed and
analysed. Some feedbacks are generated from the analysed data, and these feedbacks are sent
to the front-end nodes.
Tzounis, A., Katsoulas, N., Bartzanas, T., & Kittas, C. (2017). Internet of
things in agriculture, recent advances and future challenges. Biosystems
Engineering, 164, 31-48.
In this paper, the author has discussed the increased demand for foods in terms of
quality and quantity and has pointed towards the solution which is the implementation of the
IoT technologies. This IoT has various solution regarding the modernization of agriculture.
According to the authors the analysis of the IoT data can be used for process automation,
situation prediction and improving various types of activities in real-time. Also, the authors
have implemented the concept of the interoperability among the heterogeneous types of
devices which has inspired the creation of the appropriate tools for advanced agriculture.
Also in this article, discussion about the wireless sensor network of the IoT devices has been

8ANNOTATED BIBLIOGRAPHY
done which has benefitted the agricultural system. Also, the author has presented the
potential value of the IoT systems for the future farmers and also presented the challenges
that IoT can face towards its propagation.
Sreekantha, D. K., & Kavya, A. M. (2017, January). Agricultural crop
monitoring using IOT-a study. In Intelligent Systems and Control (ISCO),
2017 11th International Conference on (pp. 134-139). IEEE.
Here in this article, the author has presented the remodelling the agricultural system
by the use of the IoT to face various challenges in the field. These IoT technologies are able
to gather very much essential information for the agricultural system such as moisture,
weather, the fertility of the soil and the environment temperature. With these basic
applications the IoT systems, the authors have introduced a unique idea regarding the in the
agricultural field which is online monitoring of the crops. As per the author's findings, these
smart monitoring system is able to detect water level, animal intrusion, pests and the growth
of the crops. Also, the authors have implemented the microcontrollers to automate and
control the processes of the farms. Also, a remote system is present within the system that
will capture images and videos of the field, and it will be sent wirelessly to the PC or
smartphones so that the farmers can be alerted if something bad happens.

9ANNOTATED BIBLIOGRAPHY
Bibliography:
Carrasquilla-Batista, A., Chacón-Rodríguez, A., & Solórzano-Quintana, M. (2016,
November). Using IoT resources to enhance the accuracy of overdrain measurements in
greenhouse horticulture. In Central American and Panama Convention (CONCAPAN
XXXVI), 2016 IEEE 36th (pp. 1-5). IEEE.
Dan, L. I. U., Xin, C., Chongwei, H., & Liangliang, J. (2015, December). Intelligent
agriculture greenhouse environment monitoring system based on IOT technology.
In Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International
Conference on (pp. 487-490). IEEE.
Dlodlo, N., & Kalezhi, J. (2015, May). The internet of things in agriculture for sustainable
rural development. In Emerging Trends in Networks and Computer Communications
(ETNCC), 2015 International Conference on (pp. 13-18). IEEE.
Fajrin, N., Taufik, I., Ismail, N., Kamelia, L., & Ramdhani, M. A. (2018, January). On the
Design of Watering and Lighting Control Systems for Chrysanthemum Cultivation in
Greenhouse Based on Internet of Things. In IOP Conference Series: Materials Science and
Engineering (Vol. 288, No. 1, p. 012105). IOP Publishing.
Guo, T., & Zhong, W. (2015, August). Design and implementation of the span greenhouse
agriculture Internet of Things system. In Fluid Power and Mechatronics (FPM), 2015
International Conference on (pp. 398-401). IEEE.
Khattab, A., Abdelgawad, A., & Yelmarthi, K. (2016, December). Design and
implementation of a cloud-based IoT scheme for precision agriculture. In Microelectronics
(ICM), 2016 28th International Conference on (pp. 201-204). IEEE.

10ANNOTATED BIBLIOGRAPHY
Kodali, R. K., Jain, V., & Karagwal, S. (2016, December). IoT based smart greenhouse.
In Humanitarian Technology Conference (R10-HTC), 2016 IEEE Region 10 (pp. 1-6). IEEE.
Li, G., Zhang, W., & Zhang, Y. (2014). A design of the IOT gateway for agricultural
greenhouse. Sensors & Transducers, 172(6), 75.
Pallavi, S., Mallapur, J. D., & Bendigeri, K. Y. (2017, December). Remote sensing and
controlling of greenhouse agriculture parameters based on IoT. In 2017 International
Conference on Big Data, IoT and Data Science (BID) (pp. 44-48). IEEE.
Sreekantha, D. K., & Kavya, A. M. (2017, January). Agricultural crop monitoring using IOT-
a study. In Intelligent Systems and Control (ISCO), 2017 11th International Conference
on (pp. 134-139). IEEE.
Tzounis, A., Katsoulas, N., Bartzanas, T., & Kittas, C. (2017). Internet of things in
agriculture, recent advances and future challenges. Biosystems Engineering, 164, 31-48.
Ye, J., Chen, B., Liu, Q., & Fang, Y. (2013, June). A precision agriculture management
system based on Internet of Things and WebGIS. In Geoinformatics (GEOINFORMATICS),
2013 21st International Conference on (pp. 1-5). IEEE.