Literature Review: Smart Greenhouse Monitoring and Control Systems

This report presents a literature review on smart greenhouse monitoring and control systems, focusing on two key articles. The first article, by Shenan et al. (2017), discusses an IoT-based smart monitoring system that automates climate control within a greenhouse using sensors, an Android application, and a microcontroller for energy efficiency. The system monitors and controls temperature, humidity, soil moisture, and light. The second article, by Danita et al. (2018), describes an IoT-based automated greenhouse monitoring system that uses sensors to collect data on temperature and humidity, which are then sent to a remote server and controlled by Raspberry Pi3. This system also controls irrigation, cooling fans, and sliding doors. Both articles highlight the benefits of automation and remote monitoring for optimizing plant growth and yield within a greenhouse environment. The report also references the use of cloud servers and the importance of accurate data collection and analysis for effective climate control.

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Name of student
Name of university
Author’s note:

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Shenan, Z. F., Marhoon, A. F., & Jasim, A. A. (2017). IoT based intelligent greenhouse
monitoring and control system. Basrah Journal for Engineering Science, 17(1), 61-69.
In the conventional greenhouse system, it requires proper climate conditions and it needs to
be regulated for growing plants. However, it is not possible to accurately regulate and
monitor these climate conditions in a greenhouse system according to requirements of plants.
Therefore, a smart system is required that is capable of automating this process. Therefore, in
this article, the authors have designed an IoT based smart monitoring system that has the
capability to monitor the internal conditions of a greenhouse system. It collects climate
information inside a greenhouse and then that information is stored in a database for
processing. it helps in remotely monitor climate conditions in a greenhouse, therefore,
providing flexibility in greenhouse design. an android application has been designed for
displaying these data in short-range and for this Bluetooth technology has been considered.
the system that is designed has the capability to control temperature and humidity along with
light and moisture content in the soil.
These data are collected by sensors and provided to the IoT system which helps it in
controlling these parameters as already described in this context. in the greenhouse system,
there are heaters and coolers for controlling temperature within a greenhouse along with
sprayers, bulbs and water pump and all of this equipment are controlled according to sensor
data.
The system that has been proposed in this article, therefore, does not require any manual
effort for monitoring temperature, humidity, moisture in soil and actions according to that.
the database that stores data provides context to analyse sensor data and create a report as
well. in order to manage these features, a simple algorithm has been designed and this IoT
monitoring system works according to this algorithm. in order to make this system energy

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efficient, the authors have considered microcontroller and ATmega328 microcontroller has
been applied for designing this system. apart from being energy efficient, the microcontroller
is cost-efficient as well. microcontroller makes system response faster for its easy integration
with sensors. in order to measure climate condition, it is required to measure the moisture of
soil, the temperature of environment and humidity as well. in order to implement this, three
sensors are implemented along with an LDR for measuring daylight conditions which are
required to ensure that measurements are effective and efficient as well.
Although there is a various system that offers a similar feature it is more efficient in terms of
precision and stability. this system applies a GSM-GPRS module which makes it easier to
send data over the internet. if compared to ZigBee technology and RF module then this
system provides better reliability, solved and efficiency as well. however, this system needs
more features for providing a complete approach to greenhouse farming. for example, some
features like the determination of texture in soil, applying fertilizer, measuring conditions of
plants and determining the type of plants that will be suitable according to the type of soil are
some of the important features that are required to be integrated with this system and it will
ensure that design and implementation of this system are effective and efficient as well.
Danita, M., Mathew, B., Shereen, N., Sharon, N., & Paul, J. J. (2018, June). IoT Based
Automated Greenhouse Monitoring System. In 2018 Second International Conference
on Intelligent Computing and Control Systems (ICICCS) (pp. 1933-1937). IEEE.
The greenhouse is a specially designed structure that helps in growing plants. In order to
grow plants inside a Greenhouse, it is important to monitor and control the climate inside a
Greenhouse properly. It includes monitoring of temperature and humidity in control with
only so that it doesn't affect those plants inside a Greenhouse. In most of the cases, this is
done through manual effort. And this process is not only time consuming but its effects.

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Workers as well because they need to constantly go inside the greenhouse for measuring
temperature humidity and take those data for analysis. Therefore in order to improve this
process automation is required.
In this article, the authors have proposed a lot based greenhouse monitoring system That
helps in collecting data. Regarding temperature and humidity for effective controlling of the
climate inside a Greenhouse. One of the main drawbacks of controlling the climate inside a
Greenhouse is lack of accuracy in data collection and this affects the accuracy of greenhouse
monitoring and controlling. Not control properly it affects the yield of plants. And therefore it
is of prime importance to ensure accuracy in data collection and analysis for effective
monitoring and controlling.
In order to collect this data and monitor remotely, the system should consist of sensors which
are capable of taking data regarding temperature, humidity. However, the only Collection of
data is not important is that need to be sent to a remote server for analysis and for this, it is an
excellent choice as it is capable of communicating with sensor. It based system that the
author proposed in this article is consist of YL69 moisture sensor and DHT11 which works as
a temperature and humidity sensor. These sensors send data to a remote server and according
to this data, moisture inside a greenhouse is controlled by Raspberry PI3. Not only moisture
but other important factors like temperature, humidity are also controlled by this Raspberry
PI3. However, to ensure that these factors are properly controlled, it is required to actuate
irrigating pipes, cooling fan and sliding doors integrated with this greenhouse design
proposed in this article. It helps proper yielding of plants inside the greenhouse.
In order to ensure remote monitoring, the authors have considered the application of the
cloud server. It helps in ensuring that data are easily available from anywhere anytime for
effective monitoring. Does data related to greenhouse climate Including temperature and

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humidity are analysed for identifying parameters to be controlled and deciding the value of
which parameter needs to be increased or decreased for providing optimum condition for
plants. These results are displayed on a webpage for providing easy access to those data. As
results are displayed on a webpage. It is easier for people to reduce data and take decision
accordingly. It only makes the decision-making process faster and accurate but effective as
well. as the decision is based on data analysis which is collected by sensors it is easier to
control the climate inside the house gas properly and ensure that climate conditions are
controlled according to requirements of plants. Therefore, this system is effective and
efficient as well.

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References:
Danita, M., Mathew, B., Shereen, N., Sharon, N., & Paul, J. J. (2018, June). IoT Based
Automated Greenhouse Monitoring System. In 2018 Second International Conference
on Intelligent Computing and Control Systems (ICICCS) (pp. 1933-1937). IEEE.
Shenan, Z. F., Marhoon, A. F., & Jasim, A. A. (2017). IoT based intelligent greenhouse
monitoring and control system. Basrah Journal for Engineering Science, 17(1), 61-69.