Requirements for Smart Farming with IoT

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Past and Current Techniques for Smart Farming with IoT

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 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.

Literature Review

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.

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