Lists of Annotated Bibliography
Bong, C. P., Lim, L. Y., Lee, C. T., Van Fan, Y., & Klemes, J. J. (2018). The role of smart waste management in smart agriculture. Chemical Engineering Transactions, 70, 937-942.
Doshi, J., Patel, T., & kumar Bharti, S. (2019). Smart Farming using IoT, a solution for optimally monitoring farming conditions. Procedia Computer Science, 160, 746-751.
Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An overview of Internet of Things (IoT) and data analytics in agriculture: Benefits and challenges. IEEE Internet of Things Journal, 5(5), 3758-3773.
Gorli, R. (2017). Future of Smart Farming with Internet of Things. Journal of Agriculture and Water Works Engineering, 1(1).
Guardo, E., Di Stefano, A., La Corte, A., Sapienza, M., & Scatà, M. (2018). A fog computing-based iot framework for precision agriculture. Journal of Internet Technology, 19(5), 1401-1411.
Jeba, N., Lingareddy, S. C., Kowsalya, P., Sree, S. M., & Swetha, S. (2018). Anomaly Detection to Enhance Crop Productivity in Smart Farming. International Journal of Pure and Applied Mathematics, 120(6), 11503-11511.
Kadam, K., Chavan, G. T., Chavan, U., Shah, R., & Kumar, P. (2018). Smart and precision polyhouse farming using visible light communication and internet of things. In Intelligent Computing and Information and Communication (pp. 247-256). Springer, Singapore.
Navulur, S., & Prasad, M. G. (2017). Agricultural management through wireless sensors and internet of things. International Journal of Electrical and Computer Engineering, 7(6), 3492.
Patel, K. K., & Patel, S. M. (2016). Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges. International journal of engineering science and computing, 6(5).
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.
Saha, H. N. (August, 2017). Waste management using Internet of Things (IoT). 8th annual industrial automation and electromechanical engineering conference (IEMECON) (pp. 359-363). IEEE.
Swapna, B., & Manivannan, S. (2018). Analysis: smart agriculture and landslides monitoring system using internet of things (IoT). Int. J. Pure Appl. Math, 118(24), 1-7.
Vermesan, O., & Friess, P. (Eds.). (2015). Building the hyperconnected society: Internet of things research and innovation value chains, ecosystems and markets (Vol. 43). River Publishers.
Annotated Bibliography 1
Bong, C. P., Lim, L. Y., Lee, C. T., Van Fan, Y., & Klemes, J. J. (2018). The role of smart waste management in smart agriculture. Chemical Engineering Transactions, 70, 937-942.
The article reflects that the need of the hour is to automate and improve agricultural practices. As the natural resources are scare and foods requirement is ever rising, better return from agriculture is always the priority. The article aims at showing how smart agriculture can be realised through the applications of IoT. The finding exemplifies that IoT will enhance agriculture product while making optimum use of resources. The article is useful as it emphasises that agricultural waste monitoring, collection and management through sensor networks can help in transforming waste to resource. The article infers that IoT application in agriculture can increase the efficiency of agricultural practices through intelligent approach to waste management. The paper is 2018 Chemical Engineering Transactions and has been cited 6 times.
Annotated Bibliography 2
Doshi, J., Patel, T., & kumar Bharti, S. (2019). Smart Farming using IoT, a solution for optimally monitoring farming conditions. Procedia Computer Science, 160, 746-751.
The article emphasises that IoT has the potential of improving the outcome of processes at present and also in near future. The article aims at showing how intelligent approach to any field using a sensor network can enhance its efficiency and yield. The article is useful in the current scenario as there is an increasing need in using smarter devices in farming. The search shows that with this new age agricultural approach, farmers can access live data on soil moisture, humidity, temperature, etc. while saving resources like water and fertilizers, and increasing crop yield. The application of IoT can help in making farming cost efficient for the farmers. The paper is 2019 Procedia Computer Science and has not been cited yet
Annotated Bibliography 3
Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An overview of Internet of Things (IoT) and data analytics in agriculture: Benefits and challenges. IEEE Internet of Things Journal, 5(5), 3758-3773.
The article highlights the need of applying Internet of Things (IoT) to have more growth in the productivity and efficiency of the agricultural sector. The paper indicates the benefits of implementation of IoT in agriculture through technologies like cloud computing, radio frequency, WSN, end-user applications, etc. The article uses secondary research methodology to show the benefits and challenges of IoT application in agriculture. The limitation of the article is that it does not mention the solutions to sectoral, business and technical challenges of IoT application. It can be inferred that the article shows the future opportunities that could be attained through technological innovations and marketability. The paper is 2018 IEEE Internet of Things Journal and has been cited 129 times.
Annotated Bibliography 4
Gorli, R. (2017). Future of Smart Farming with Internet of Things. Journal of Agriculture and Water Works Engineering, 1(1).
The article reflects on the importance of IoT in making agricultural practices more sophisticated and technology based. As agriculture is the base of survival for the world, the article aims at highlighting how the use of smarter technologies, IoT and automation is helping the sector to improve its productivity. The secondary research method is used for finding vital results showing how up gradation in sensor technology can bring higher returns to agriculture. This paper is useful as it emphasises on smart farming methods. The limitation of the article is that it does not make use of any case study to examine the outcome of IoT application. It can be inferred that networked agricultural practices can offer better yield. The paper is 2017 Journal of Agriculture and Water Works Engineering and has be
Annotated Bibliography 5
Guardo, E., Di Stefano, A., La Corte, A., Sapienza, M., & Scatà, M. (2018). A fog computing-based iot framework for precision agriculture. Journal of Internet Technology, 19(5), 1401-1411.
The article emphasises on the need of making agriculture network oriented because huge data needs to be collected, analysed and processed. The article aims at showing how IoT and cloud computing can facilitate the agricultural practices. The findings illustrates that Smart agriculture backed by sensor network is the demand of the new era. The article is useful as it proposes the use of Fog computing IoT which will reduce the time in waiting, reduce the problem of data transmission and enhance the computational results. It can be inferred that the article is successful in establishing that IoT can improve the management of land, monitoring of the farming process, etc. giving better returns to agriculture. The paper is 2018 Journal of Internet Technology and has been cited 8 times.
Annotated Bibliography 6
Jeba, N., Lingareddy, S. C., Kowsalya, P., Sree, S. M., & Swetha, S. (2018). Anomaly Detection to Enhance Crop Productivity in Smart Farming. International Journal of Pure and Applied Mathematics, 120(6), 11503-11511.
The article examines that the application of modern technologies into agriculture are reflected by smart farming. The major advantage that is provided by smart farming is that it provides high-precision control of crops. The article aims to show that latest technology initiates better production of crops. In order to gather data, the researcher used ThingSpeak that helped to visualize the data gathered. The findings point up that the IoT is used to carry out a test of crops thus giving their details. The article is limited to its results as the terms such as Aduino UNO as well as pH Sensor has made it little complicated. It could be concluded that the intended system has been able to accomplish an enhanced way to develop crop production. I found it quite relatable to my topic. The paper is 2018 International Journal of Pure and Applied Mathematics and has not been cited yet.
Annotated Bibliography 7
Kadam, K., Chavan, G. T., Chavan, U., Shah, R., & Kumar, P. (2018). Smart and precision polyhouse farming using visible light communication and internet of things. In Intelligent Computing and Information and Communication (pp. 247-256). Springer, Singapore.
This article emphasises on the need of using IoT and sensor network in Polyfarming as it requires less attention than systems which are manually controlled. The aim of the article is to show how IoT helps in automation of polyhouse through cloud based data. The article uses case study method for conducting the research. This article is useful as it ensures sustainable and completely automated polyhouse farming through IoT and Visible Light Communication (VLC). The limitation of the paper is that it does not highlight the limitations of IoT and VLC while it emphasises on drawbacks of previously used systems. It can be concluded from the article that IoT and sensor networks can open a new gateway in agriculture. The paper is 2018 Springer, Singapore and has been cited 4 times.
Annotated Bibliography 8
Navulur, S., & Prasad, M. G. (2017). Agricultural management through wireless sensors and internet of things. International Journal of Electrical and Computer Engineering, 7(6), 3492.
The article provides an overview that agriculture plays an imperative role in almost every country. The article aims to show that it has turned out to be imperative for the agricultural industry to become SMART. The findings illustrate that the advent of internet will help to monitor soil more remotely. All the datas are gathered with the help of range of wireless sensors. This has made sensing agricultural activities easier. The article is useful as it shows the way solar powered remote management initiates agricultural movements. It could be inferred that SMART agriculture has made it easier to carry out organic farm fertilizing. The paper is 2017 International Journal of Electrical and Computer Engineering and has been cited 25 times.
Annotated Bibliography 9
Patel, K. K., & Patel, S. M. (2016). Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges. International journal of engineering science and computing, 6(5).
The article gives an overview of what IoT is and how its application can be beneficial in yielding better results in a particular field. The article aims at establishing that the use of sensors-based equipment, data analysis, networked information and communication, can help in improving the results of a process. The article is useful as it highlights how IoT can help in better tracing, positioning, smarter recognition, administration and monitoring. However, the drawback of this article is it don’t give back the concrete solution to the challenges of IoT. We conclude this article by saying that IoT has huge potential to improve the operation and management of processes. The paper is 2016 International journal of engineering, science and computing and has been cited 217 times.
Annotated Bibliography 10
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.
The article examines the new direction which IoT has opened in the domain of agriculture using innovative research. The article aims at showing the potential of IoT applications and its challenges when deployed in agricultural practices. The finding illustrates that the case study method has been used in the article for research. The article is useful as it indicates how “IOT” application can help in making agriculture smarter. The article, however, does not highlight the limitations of wireless communication and IoT devices. It can be concluded that IoT can provide a roadmap to the agricultural sector for the future and along with improvement in factors directly affecting farming operations. The paper is 2017 Journal of Ambient Intelligence and Smart Environments and has been cited 101 times.
Annotated Bibliography 11
Saha, H. N., Auddy, S., Pal, S., Kumar, S., Pandey, S., Singh, R., … & Saha, S. (2017, August). Waste management using Internet of Things (IoT). In 2017 8th annual industrial automation and electromechanical engineering conference (IEMECON) (pp. 359-363). IEEE.
The article examines how the application of IoT can help in the management of wastes which is an integral part of agricultural practices. The article aims at showing how the waste if well managed has the potential of transforming into a resource. The finding illustrates that the waste can be better managed, reduced and re-employed in the agricultural process through the efficient use of IoT. The article is useful as it shows the ways in which waste could be reused for animal feeding, fermenting, composting, land filling, etc. The article concludes that the solution to effective waste management and its utilization is IoT and sensor network. The paper is 2017 IEEE IEMECON and has been cited 22 times.
Annotated Bibliography 12
Swapna, B., & Manivannan, S. (2018). Analysis: smart agriculture and landslides monitoring system using internet of things (IoT). Int. J. Pure Appl. Math, 118(24), 1-7.
The article shows that agriculture is regarded as a procedure that helps to cultivate plants. Challenges take place when the capacity to produce crops in crops deteriorates. The aim is to comprehend in order to improve organic fertilization, it is imperative to intervene the internet of things. The finding illustrates that the methodology that has been used includes components design as well as sensors which moisturises soils. The usefulness of this article lies in a fact that it shows the way IoT helps in landslides monitoring. The limitation of this article is that it does not describe the sensors briefly. It could be concluded that agricultural change could be depicted with a help of Wireless Sensor Networks. This paper is 2018 Int. J. Pure Appl. Math and has been cited once.
Annotated Bibliography 13
Vermesan, O., & Friess, P. (Eds.). (2015). Building the hyperconnected society: Internet of things research and innovation value chains, ecosystems and markets (Vol. 43). River Publishers.
The article examines that the internet of things has helped to alter the digital single market. The findings reflect on the fact that internet of things as a part of organic fertilizer has been able to result in a genuine paradigm. The article is useful as it has been able to provide an outstanding platform in order to initiate vibrant development in agriculture with a support of IOT in it. This also reflects on how good the market and ecosystem are affected and useful. The limitation in the article is that it the technology that has been related to internet of things are challenged. The paper is 2015 River Publishers and has been cited 67 times.
Self-Evaluation Report on Originality
Originality in a report is highly imperative as it helps to produce innovative knowledge rather than summarizing what is already written. As a result, it is imperious to observe as well as experiment new facts that will help to solve existing issues. As per my originality report my similarities are 0%, I inferred that a report becomes original when the researcher details the research methods as well as interpret the results on their own. The after submitting with whole ready document it is 36% which are mostly the citations which are used 3 times one in listing the annotated bibliography, explaining the annotated bibliography individually and the references due to which the percentage is higher. As a result, originality in a report is crucial as it also helps to avoid plagiarism. This in turn aids to contribute new knowledge to the research.
References
Bong, C. P., Lim, L. Y., Lee, C. T., Van Fan, Y., & Klemes, J. J. (2018). The role of smart waste management in smart agriculture. Chemical Engineering Transactions, 70, 937-942.
Doshi, J., Patel, T., & kumar Bharti, S. (2019). Smart Farming using IoT, a solution for optimally monitoring farming conditions. Procedia Computer Science, 160, 746-751.
Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. N. (2018). An overview of Internet of Things (IoT) and data analytics in agriculture: Benefits and challenges. IEEE Internet of Things Journal, 5(5), 3758-3773.
Gorli, R. (2017). Future of Smart Farming with Internet of Things. Journal of Agriculture and Water Works Engineering, 1(1).
Guardo, E., Di Stefano, A., La Corte, A., Sapienza, M., & Scatà, M. (2018). A fog computing-based iot framework for precision agriculture. Journal of Internet Technology, 19(5), 1401-1411.
Jeba, N., Lingareddy, S. C., Kowsalya, P., Sree, S. M., & Swetha, S. (2018). Anomaly Detection to Enhance Crop Productivity in Smart Farming. International Journal of Pure and Applied Mathematics, 120(6), 11503-11511.
Kadam, K., Chavan, G. T., Chavan, U., Shah, R., & Kumar, P. (2018). Smart and precision polyhouse farming using visible light communication and internet of things. In Intelligent Computing and Information and Communication (pp. 247-256). Springer, Singapore.
Navulur, S., & Prasad, M. G. (2017). Agricultural management through wireless sensors and internet of things. International Journal of Electrical and Computer Engineering, 7(6), 3492.
Patel, K. K., & Patel, S. M. (2016). Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges. International journal of engineering science and computing, 6(5).
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.
Saha, H. N. (August, 2017). Waste management using Internet of Things (IoT). 8th annual industrial automation and electromechanical engineering conference (IEMECON) (pp. 359-363). IEEE.
Swapna, B., & Manivannan, S. (2018). Analysis: smart agriculture and landslides monitoring system using internet of things (IoT). Int. J. Pure Appl. Math, 118(24), 1-7.
Vermesan, O., & Friess, P. (Eds.). (2015). Building the hyperconnected society: Internet of things research and innovation value chains, ecosystems and markets (Vol. 43). River Publishers.