The Role of IoT in Revolutionizing Modern Farming Practices

This literature review explores the transformative impact of the Internet of Things (IoT) on modern farming practices. It examines various applications, including smart irrigation for water conservation, weather-based watering systems to prevent over-watering, and crop monitoring systems using thermal imaging for accurate growth rate determination. The review also covers IoT-based weather monitoring for forecasting, precision agriculture techniques using remote sensing and GPS, soil quality control monitoring, greenhouse gas monitoring, smart harvesting methods, smart pest control using pheromone traps, and smart warehousing for efficient storage and data management. The annotated bibliography highlights key research papers that provide a semantic framework for smart farming, cloud computing for pest detection, the role of IoT in improving food and farming technology, IoT platforms for smart farming, and techniques for implementing smart farming in various contexts. The bibliography provides a comprehensive list of cited sources.

Running head: INTERNET OF THINGS IN FARMING
Internet of Things in Farming
Name of the Student
Name of the University
Author Note

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Literature Review:
IoT for saving water:
According to the author TongKe (2013), the IoT can be used for analysing the
moistness of the territory which can determine the timings of water supply accurately. It can
help to save water.
IoT based Smart Irrigation in Farming:
According to the author Gondchawar and Kawitkar (2016), the smart irrigation can be
used for enabling the weather based watering system. It helps to decrease the chances of
over-watering.
IoT based Crop Monitoring System:
According to the author Lee, Hwang and Yoe (2013), the IoT based applications can
be used for monitoring the crop growth. This system uses thermal imaging technique to
accurately determine the growth rate of the crops.
IoT based Weather Monitoring system in Farming:
As per the author Fang et al., (2014), the weather monitoring system is very much
useful for farming. It can forecast the weather of a particular area which can help the farmers
to take necessary actions.
IoT based Precision Agriculture:
According to the author Ye et al., (2013), the IoT can help the framers for precision
agriculture by determining accurate position and weather for a particular type of crop. This
technique uses remote sensing, geographical information system and geosynchronous
positioning system.

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IoT based Soil Quality Control Monitoring:
The authors of this article Zhou et al., (2013) elaborated that the IoT based soil quality
control check has a huge impact on the farming. It helps by monitoring the pH level of the
soil and many more other parameters of the soil.
IoT based Greenhouse Gas Monitoring System for farming:
According to the author Ojha, Misra and Raghuwanshi (2015), IoT based Greenhouse
gas monitoring system can help the farmers to control the greenhouse gas for enhancing the
growth of the vegetable.
IoT based Crop Harvesting Methods for farming:
As per the author Oksanen, Linkolehto and Seilonen (2016) IoT based system devices
can help the farmers to harvest the crop effectively so that most of the things can be
harvested.
IoT based Smart Pest Control for farming:
According to the author Ray (2017), the pest is a big problem for the farming. To
mitigate this problem IoT based smart pest controlling mechanism can be used. This type of
pest controlling trap uses a pheromone to lure a specific type of pests. The total count of the
pest is captured by the smart device for tracking purpose.
IoT based Smart Warehouses for farming:
According to the author Qu et al., (2016), smart warehousing system can help the
farming system by storing the capacity information of the warehouse. In this case, RFID tags
can be used to accessing the data of harvested crop locations and the condition of the crops.

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Annotated Bibliography:
Kamilaris, A., Gao, F., Prenafeta-Boldú, F. X., & Ali, M. I. (2016). Agri-IoT: A semantic
framework for Internet of Things-enabled smart farming applications. In Internet of
Things (WF-IoT), 2016 IEEE 3rd World Forum on (pp. 442-447). IEEE.
In this article, the author Kamilaris et al., (2016), proposed a semantic framework
which works on the smart type of farming application based on the IoT technologies. This
type of smart devices consists of various type of sensors which fetches important data from
the environment in real time. The author stated that this data can help the farming process to
work efficiently.
Rupanagudi, S. R., Ranjani, B. S., Nagaraj, P., Bhat, V. G., & Thippeswamy, G. (2015).
A novel cloud computing based smart farming system for early detection of borer
insects in tomatoes. In Communication, Information & Computing Technology (ICCICT),
2015 International Conference on (pp. 1-6). IEEE.
In this article the authors Rupanagudi et al. has stated that described the losses which
the farmers face every year due to the pest infections in the crops. To solve this problem the
authors approached a novel idea which is monitoring the crops constantly by using the cloud
computing, video processing and by robotics. This article concentrates on pest detection on
particularly tomato vegetable.
Balamurugan, S., Divyabharathi, N., Jayashruthi, K., Bowiya, M., Shermy, R. P., &
Shanker, R. (2016). Internet of agriculture: Applying IoT to improve food and farming
technology. International Research Journal of Engineering and Technology
(IRJET), 3(10), 713-719.
The authors Balamurugan et al. has investigated Internet of Things role in the
agricultural field. The author has stated that the agricultural filed is now equipped with the

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various type of electronic devices such as sensors, GPS which helps to exchange the data to
improve the productivity. Also, the authors have described that could computing in the
agricultural can enhance the production of the agricultural fields as it increases the data
availability of the researches which is useful for the farmers.
Jayaraman, P. P., Yavari, A., Georgakopoulos, D., Morshed, A., & Zaslavsky, A. (2016).
Internet of things platform for smart farming: Experiences and lessons
learnt. Sensors, 16(11), 1884.
According to the authors Jayaraman et al., to increase the profitability form the
farming productivity of the farming need to be improved. To increase the productivity of the
farm by forecasting and understanding the performance of the crop in various environments.
The authors have presented an IoT based SmartFarmNet design which is able to collect
irrigation, soil and environmental data automatically.
Romeo, S. (2016). Enabling Smart Farming through the Internet of Things Current
Status and Trends. In Sensing Technologies for Effective Land Management Workshop.
In this article, the author Romeo (2016) has elaborated techniques for implementing
smart farming using the IoT. These techniques are the small sized field farming, precision
livestock farming and the in-door farming. According to the author in small sized field
farming the plant, data is shared between farmer and gateway via cellular connectivity. In
livestock farming, the livestock is tracked by using the sensors which are attached to them. In
the case of in-door farming, sensors are used for managing the greenhouse gases for accurate
production.

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Bibliography:
Balamurugan, S., Divyabharathi, N., Jayashruthi, K., Bowiya, M., Shermy, R. P., & Shanker,
R. (2016). Internet of agriculture: Applying IoT to improve food and farming
technology. International Research Journal of Engineering and Technology
(IRJET), 3(10), 713-719.
Fang, S., Da Xu, L., Zhu, Y., Ahati, J., Pei, H., Yan, J., & Liu, Z. (2014). An Integrated
System for Regional Environmental Monitoring and Management Based on Internet
of Things. IEEE Trans. Industrial Informatics, 10(2), 1596-1605.
Gondchawar, N., & Kawitkar, R. S. (2016). IoT based smart agriculture. International Journal
of Advanced Research in Computer and Communication Engineering
(IJARCCE), 5(6), 177-181.
Jayaraman, P. P., Yavari, A., Georgakopoulos, D., Morshed, A., & Zaslavsky, A. (2016).
Internet of things platform for smart farming: Experiences and lessons
learnt. Sensors, 16(11), 1884.
Kamilaris, A., Gao, F., Prenafeta-Boldú, F. X., & Ali, M. I. (2016). Agri-IoT: A semantic
framework for Internet of Things-enabled smart farming applications. In Internet of
Things (WF-IoT), 2016 IEEE 3rd World Forum on (pp. 442-447). IEEE.
Lee, M., Hwang, J., & Yoe, H. (2013). Agricultural production system based on IoT.
In Computational Science and Engineering (CSE), 2013 IEEE 16th International
Conference on (pp. 833-837). IEEE.
Ojha, T., Misra, S., & Raghuwanshi, N. S. (2015). Wireless sensor networks for agriculture:
The state-of-the-art in practice and future challenges. Computers and Electronics in
Agriculture, 118, 66-84.

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Oksanen, T., Linkolehto, R., & Seilonen, I. (2016). Adapting an industrial automation
protocol to remote monitoring of mobile agricultural machinery: a combine harvester
with IoT. IFAC-PapersOnLine, 49(16), 127-131.
Qu, T., Lei, S. P., Wang, Z. Z., Nie, D. X., Chen, X., & Huang, G. Q. (2016). IoT-based real-
time production logistics synchronization system under smart cloud
manufacturing. The International Journal of Advanced Manufacturing
Technology, 84(1-4), 147-164.
Ray, P. P. (2017). Internet of things for smart agriculture: Technologies, practices and future
direction. Journal of Ambient Intelligence and Smart Environments, 9(4), 395-420.
Romeo, S. (2016). Enabling Smart Farming through the Internet of Things Current Status and
Trends. In Sensing Technologies for Effective Land Management Workshop.
Rupanagudi, S. R., Ranjani, B. S., Nagaraj, P., Bhat, V. G., & Thippeswamy, G. (2015). A
novel cloud computing based smart farming system for early detection of borer
insects in tomatoes. In Communication, Information & Computing Technology
(ICCICT), 2015 International Conference on (pp. 1-6). IEEE.
TongKe, F. (2013). Smart agriculture based on cloud computing and IOT. Journal of
Convergence Information Technology, 8(2).
Ye, J., Chen, B., Liu, Q., & Fang, Y. (2013). A precision agriculture management system
based on Internet of Things and WebGIS. In Geoinformatics (GEOINFORMATICS),
2013 21st International Conference on (pp. 1-5). IEEE.
Zhou, J., Leppanen, T., Harjula, E., Ylianttila, M., Ojala, T., Yu, C., ... & Yang, L. T. (2013).
Cloudthings: A common architecture for integrating the internet of things with cloud

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computing. In Computer Supported Cooperative Work in Design (CSCWD), 2013
IEEE 17th International Conference on (pp. 651-657). IEEE.