Free Samples
ITC560 Internet Of Things Assignment
.cms-body-content table{width:100%!important;} #subhidecontent{ position: relative;
overflow-x: auto;
width: 100%;}
ITC560 Internet Of Things Assignment
0 Download12 Pages / 2,951 Words
Course Code: ITC560
University: Charles Sturt University
MyAssignmentHelp.com is not sponsored or endorsed by this college or university
Country: Australia
Questions:
On successful completion of this subject, you should:• be able to explain and demonstrate various components of Internet of Things (IoT);• be able to analyse the role and importance of IoT in the modern world;• be able to investigate and propose various requirements of IoT for real world applications;• be able to evaluate a variety of existing and developing architecture technologies for IoT;• be able to describe and evaluate different applications of the IoT.
Answer:
Introduction
The concept of IoT is being widely accepted at present for various purposes as well as fulfilling the daily needs of human being. IoT relates to communication of machine to machine or man to machine through network by accessing the Internet. The implementation of IoT is growing with the increase in technology and growth of innovation. The adoption of technology and innovation in farming is increasing day by day as the farmers are becoming aware of the latest innovations (Dolci, 2017). The implementation of IoT in farming will help to achieve greater advantages and benefits by reducing the wastage of electricity or other resources. The report will comprise of the discussions on the role of IoT in farming and how it will be beneficial to carry out the activities in farming.
Purpose of the study
This study is intended for illustrating the concept of IoT and how it is being used or can be used in farming to achieve benefits. The study will also demonstrate an in-depth knowledge of IoT and benefits that could be achieved by implementing it in farming or agricultural industry. There are various benefits of implementing IoT in farming such as it will enhance cultivation of mushroom and flower, ensure safety of crops and others (Agnihotri, Santra & Sen, 2018). The study will also highlight discussion on various theories and concepts related to IoT in the literature review section. Hence, this report will basically help to present the advantages and disadvantages of IoT in farming.
Problem definition
The people in villages or rural areas face major difficulties while growing crops or cultivating flowers and others. The crops are vulnerable to natural threats that may affect or even damage the entire field and hence, there is a need to ensure safety of the crops which can be enhanced with the help of IoT. In case of any spark or fire in the harvest area, water sprinklers and smoke detectors can be used to prevent huge loss. Further, there are many such instances where a major role is being played by IoT to support the farmers in rural or village areas.
Literature review
Concept of IoT (Internet of Things)
The term IoT (Internet of Things) is a wide area that relates to interconnection with real life objects with the help of internet. In IoT, every object has connection with each other using a unique identifier such that data transfer can be carried out over the network without the need of human to human interaction. The agriculture sector is growing with the integration of technological innovations (Abbas & Athar, 2017). Various efforts have been made for enhancing the productivity as well as reduction in loss with the use of latest technological developments. In the agricultural sector, the farmers are not aware of the latest technologies and practices although various expert systems has been developed for facilitating the farmers.
Related Work and Challenges of IoT-Based Platforms for Smart Farming
According to Ryu et al. (2015), the database systems are an oldest technique for storing data or retrieval of information so that analysis can be done with the help of visualizations to achieve desired results. However, the performance of those systems are often compromised due to large data stream and they are not capable of addressing most challenges. For meeting the identified challenges different vendors have laid their hands on finding various ways to provide systems with latest technologies. However, there are certain limits or interoperability among various devices within the IoT ecosystem.
The IoT platforms related to farming are being used to provide tools for data storage as well as processing however, further studies are required to determine the benefits that could be achieved through the use of IoT platforms in agriculture. In a paper by Balamurugan et al. (2016), SmartFarmNet platform has been introduced that is being deployed throughout Australia it is successfully used for collection as well as analysis of data gathered from various sensors that are being deployed in remote locations of agricultural field. Moreover, the outcomes that has been presented in the study by Suma et al. (2017), are the results as well as experiences that are achieved from real world deployment over the four years.
A study by Bhattacharjee et al. (2017), demonstrated that the category of open source platforms related to IoT comprises of project on IoTCloud architecture that has originated from the Community Grids laboratory of Indiana University based in USA. In this paper, Shahzadi et al. (2016) showed that API’s for sensors are being provided by the IoTCloud architecture so that publishing of data could be processed in the cloud and clients will be able to subscribe to access those data. IoTCloud is advantageous as it based on publish-subscribe architecture so that scalable ingestion along with querying could be supported for data being gathered from sensors. Despite of the advantages, the IoTCloud architecture lacks the use of BYOD (Bring Your Own Device) for further support to IoT devices, it is also not able to provide fast or scalable analysis of the data gathered from sensors.
Kamilaris et al. (2016) stated that improvements can be made in productivity that has significance to increase the profitability of farm so that demand for food can be met. It is occurring due to rapid growth in the population throughout the world. The farm productivity could be increased by gaining insight into the performance of crops in context to various environmental conditions. It has been presented that IoT technology have a significant role to play in increasing the farm productivity to meet the increasing demand for food. The implementation of latest advancements in the field of agriculture will help to achieve benefits by increasing the operational efficiency, maximizing the yield and minimization of waste with the utilization of the collected data and real time analysis. As opined by Chin and Audah (2017), the IoT based advancements will help to address the issues or challenges being faced in the present day in context to agriculture. There are various device based IoT applications which will help to measure the various parameters related to farming. The IoT based devices can address the issues related to agriculture so that the quality and quantity can be increased for meeting the increased demand for food. The application of IoT will help to make the farms to be more intelligent and more connected. The total market in context to smart agriculture is expected to increase from 13.7 billion USD in 2015 to 26.8 billion USD by 2020.
The migration of people from rural to urban area has raised many issues and challenges in agriculture sector. Hence, for overcoming the problems and issues it has been determined that smart agriculture techniques utilizing IoT can be applied to achieve benefits (Abbas & Athar, 2017). A project based on IoT platforms shows the various features like monitoring through remote controlled GPS based system, checking of moisture and sensing of temperature along with security, wetness of leaf such that proper irrigation facilities could be applied in agriculture. The parameters related to crop production and yield can be controlled with the help of implementing IoT technology. The implications of IoT based devices are wide however, there are some limitations in their use due to lack of knowledge or awareness among the farmers in rural areas. The IoT based devices can be used for farming but proper training for operating those device have to be also provided to the farmers.
Annotated Bibliography
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.
In a paper by Jayaraman et al. (2016), it has been mentioned that the productivity of farms is significant for increasing the profitability of farm along with meeting the increased demand for food. The increase in demand for food is occurring due to rapid growth in population throughout the world. Hence, it has been identified by Jayaraman et al. (2016), that farm productivity can be increased with the evaluation of crop performance in context to different environmental conditions. The desired results of growth in farm productivity can be achieved with the implementation of IoT technology in farming. The data related to crop performance could be collected for increasing farm productivity by controlling the different parameters.
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard business review, 92(11), 64-88.
Porter and Heppelmann (2014) opines that IoT technology have a significant role to play in increasing the farm productivity to meet the increasing demand for food. The implementation of latest advancements in the field of agriculture will help to achieve benefits by increasing the operational efficiency and maximizing crop yield with the utilization of collected data and real time analysis. There are various device based IoT applications which will help to measure the various parameters related to farming. The IoT based devices can address the issues related to agriculture so that the quality and quantity can be increased for meeting the increased demand for food. In this paper, Porter and Heppelmann (2014) has stated that the total market related to smart agriculture will increase from 13.7 billion USD in 2015 to 26.8 billion USD by 2020.
Ryu, M., Yun, J., Miao, T., Ahn, I. Y., Choi, S. C., & Kim, J. (2015, November). Design and implementation of a connected farm for smart farming system. In SENSORS, 2015 IEEE(pp. 1-4). IEEE.
The concept of agriculture is prominent from the ancient ages as it provides human beings with food, fiber as well as energy. The developments in agricultural industry can be gained by implementing new technologies and advancement especially with the implementation of IoT technology. In this particular paper, the authors Ryu et al. (2015), has presented a connected farm which is IoT based system and it aims to provide systems to end users for smart farming. In this paper, the illustrations are provided on the design as well as development of connected farms along with explanation of the service scenarios by comparing it with previous smart farms.
Shahzadi, R., Ferzund, J., Tausif, M., & Suryani, M. A. (2016). Internet of Things based Expert System for Smart Agriculture. IJACSA) International Journal of Advanced Computer Science and Applications, 7(9), 341-350.
The agricultural techniques are increasing with the evolution of latest technologies and advancements in the farming sector. In the agricultural sector, the farmers are not aware of the latest technologies and practices although various expert systems has been developed for facilitating the farmers. The expert systems being developed for fulfilling the purpose of agricultural sector relies only on the stored knowledge base. In this paper, the authors Shahzadi et al. (2016) has proposed an expert system that is based on IoT technology. The system will utilize the input data that is collected in real time. The IoT system will help to take necessary actions and preventive strategies so that loses or reduction in wastage can be minimized in farming.
Suma, D. N., Samson, S. R., Saranya, S., Shanmugapriya, G., & Subhashri, R. (2017). IOT Based Smart Agriculture Monitoring System. International Journal on Recent and Innovation Trends in Computing and Communication, 5(2), 177-181.
In this paper, the authors Suma et al. (2017), presented that the migration of people from rural to urban area has raised many issues and challenges in agriculture sector. Hence, for overcoming the problems and issues it has been determined that smart agriculture techniques utilizing IoT can be applied to achieve benefits. The project being demonstrated by Suma et al. (2017) shows that the various features like monitoring through remote controlled GPS based system, checking of moisture and sensing of temperature along with security, wetness of leaf such that proper irrigation facilities could be applied in agriculture. It has also been presented that the mentioned parameters can be controlled with the help of implementing IoT technology.
research findings
From this research, it has been identified that there are various ways in which IoT will help to improve the present conditions of agricultural industry. The implementation of IoT in farming will help to increase efficiency of the farmers and improvement in crop yield. The returns will be optimized and preservation of resources will be ensured with the implementation of IoT in farming. The real time data on the condition of crops, soil as well as air could be gathered with the help of IoT. The major aim of implementing IoT in farming is to ensure profitability along with sustainability such that the environment can be protected at the same time. The implementation of IoT will help to enhance efficiency of the process for irrigation and reducing the loss of water.
Future research
The research can be extended further for supporting the climatic conditions so that the growth rate or crops can be increased and manpower can be reduced. The proposed systems in the above discussed articles shows that there could be enhancements with the implementation of IoT (Internet of Things).
Conclusion
The agricultural techniques are increasing with the evolution of latest technologies and advancements in the farming sector. From the overall analysis of related work on application of IoT in farming, it has been identified that improvements in productivity is significant for increasing the profitability of farm and meet the demand for food which is occurring due to rapid growth in the population throughout the world. Further, it is also found that the farm productivity could be increased by gaining insight into the performance of crops in context to various environmental conditions. From the studies on related work by researchers, it has been identified that IoT technology have a significant role to play in increasing the farm productivity to meet the increasing demand for food
References
Abbas, S., & Athar, A. (2017). Advance Modeling of Agriculture Farming Techniques Using Internet of Things. IJCSNS, 17(12), 114.
Agnihotri, N., Santra, S., & Sen, S. (2018). Crop and Animal Farming IoT (CAF-IoT). In Machine Learning and IoT(pp. 327-340). CRC Press.
Aher, A., Kasar, J., Ahuja, P., & Jadhav, V. (2018). Smart Agriculture using Clustering and IOT.
Babu, T. G., & Babu, A. (2018). IoT (Internet of Things) & Big Data Solutions to Boost Yield and Reduce Waste in Farming.
Bacco, M., Berton, A., Ferro, E., Gennaro, C., Gotta, A., Matteoli, S., … & Zanella, A. (2018, May). Smart farming: Opportunities, challenges and technology enablers. In IoT Vertical and Topical Summit on Agriculture-Tuscany (IOT Tuscany), 2018(pp. 1-6). IEEE.
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.
Bhattacharjee, A., Das, P., Basu, D., Roy, S., Ghosh, S., Saha, S., … & Rana, T. K. (2017, October). Smart farming using IOT. In Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2017 8th IEEE Annual(pp. 278-280). IEEE.
Chin, Y. S., & Audah, L. (2017, September). Vertical farming monitoring system using the internet of things (IoT). In AIP Conference Proceedings(Vol. 1883, No. 1, p. 020021). AIP Publishing.
Dolci, R. (2017, July). IoT Solutions for Precision Farming and Food Manufacturing: Artificial Intelligence Applications in Digital Food. In Computer Software and Applications Conference (COMPSAC), 2017 IEEE 41st Annual(Vol. 2, pp. 384-385). IEEE.
Donzia, S. K. Y., Kim, H. K., & Hwang, H. J. (2018). A Software Model for Precision Agriculture Framework Based on Smart Farming System and Application of IoT. Computational Science/Intelligence & Applied Informatics, 787, 49.
Donzia, S. K. Y., Kim, H. K., & Hwang, H. J. (2018, July). A Software Model for Precision Agriculture Framework Based on Smart Farming System and Application of IoT Gateway. In International Conference on Computational Science/Intelligence & Applied Informatics(pp. 49-58). Springer, Cham.
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.
Jayashankar, P., Nilakanta, S., Johnston, W. J., Gill, P., & Burres, R. (2018). IoT adoption in agriculture: the role of trust, perceived value and risk. Journal of Business & Industrial Marketing.
Kamilaris, A., Gao, F., Prenafeta-Boldú, F. X., & Ali, M. I. (2016, December). 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.
Kulau, U., van Balen, J., Schildt, S., Büsching, F., & Wolf, L. (2016, December). Dynamic sample rate adaptation for long-term IoT sensing applications. In Internet of Things (WF-IoT), 2016 IEEE 3rd World Forum on(pp. 271-276). IEEE.
Lim, L. J., Sambas, H., MarcusGoh, N. C., Kawada, T., & JosephNg, P. S. (2017). ScareDuino: Smart-Farming with IoT. International Journal of Scientific Engineering and Technology, 6(6), 207-210.
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard business review, 92(11), 64-88.
Reka, S. S., Chezian, B. K., & Chandra, S. S. (2019). A Novel Approach of IoT-Based Smart Greenhouse Farming System. In Green Buildings and Sustainable Engineering(pp. 227-235). Springer, Singapore.
Rupanagudi, S. R., Ranjani, B. S., Nagaraj, P., Bhat, V. G., & Thippeswamy, G. (2015, January). 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.
Ryu, M., Yun, J., Miao, T., Ahn, I. Y., Choi, S. C., & Kim, J. (2015, November). Design and implementation of a connected farm for smart farming system. In SENSORS, 2015 IEEE(pp. 1-4). IEEE.
Shahzadi, R., Ferzund, J., Tausif, M., & Suryani, M. A. (2016). Internet of Things based Expert System for Smart Agriculture. IJACSA) International Journal of Advanced Computer Science and Applications, 7(9), 341-350.
Suma, D. N., Samson, S. R., Saranya, S., Shanmugapriya, G., & Subhashri, R. (2017). IOT Based Smart Agriculture Monitoring System. International Journal on Recent and Innovation Trends in Computing and Communication, 5(2), 177-181.
Free Membership to World’s Largest Sample Bank
To View this & another 50000+ free samples. Please put
your valid email id.
Yes, alert me for offers and important updates
Submit
Download Sample Now
Earn back the money you have spent on the downloaded sample by uploading a unique assignment/study material/research material you have. After we assess the authenticity of the uploaded content, you will get 100% money back in your wallet within 7 days.
UploadUnique Document
DocumentUnder Evaluation
Get Moneyinto Your Wallet
Total 12 pages
PAY 8 USD TO DOWNLOAD
*The content must not be available online or in our existing Database to qualify as
unique.
Cite This Work
To export a reference to this article please select a referencing stye below:
APA
MLA
Harvard
OSCOLA
Vancouver
My Assignment Help. (2021). Internet Of Things Assignment. Retrieved from https://myassignmenthelp.com/free-samples/itc560-internet-of-things/world-deployment.html.
“Internet Of Things Assignment.” My Assignment Help, 2021, https://myassignmenthelp.com/free-samples/itc560-internet-of-things/world-deployment.html.
My Assignment Help (2021) Internet Of Things Assignment [Online]. Available from: https://myassignmenthelp.com/free-samples/itc560-internet-of-things/world-deployment.html[Accessed 18 December 2021].
My Assignment Help. ‘Internet Of Things Assignment’ (My Assignment Help, 2021)
My Assignment Help. Internet Of Things Assignment [Internet]. My Assignment Help. 2021 [cited 18 December 2021]. Available from: https://myassignmenthelp.com/free-samples/itc560-internet-of-things/world-deployment.html.
×
.close{position: absolute;right: 5px;z-index: 999;opacity: 1;color: #ff8b00;}
×
Thank you for your interest
The respective sample has been mail to your register email id
×
CONGRATS!
$20 Credited
successfully in your wallet.
* $5 to be used on order value more than $50. Valid for
only 1
month.
Account created successfully!
We have sent login details on your registered email.
User:
Password:
Students who are planning to set their career abroad are often required to write a college admission essay. It is crucial to write a convincing essay since your future depends on it. If you do not know how to write a college application essay, place an order at MyAssignmenthelp.com and take home a perfect admission essay. If you want to look through some college admission essay examples, you can visit our website.
Latest Management Samples
div#loaddata .card img {max-width: 100%;
}
MPM755 Building Success In Commerce
Download :
0 | Pages :
9
Course Code: MPM755
University: Deakin University
MyAssignmentHelp.com is not sponsored or endorsed by this college or university
Country: Australia
Answers:
Introduction
The process of developing a successful business entity requires a multidimensional analysis of several factors that relate to the internal and external environment in commerce. The areas covered in this current unit are essential in transforming the business perspective regarding the key commerce factors such as ethics, technology, culture, entrepreneurship, leadership, culture, and globalization (Nzelibe, 1996; Barza, 2…
Read
More
SNM660 Evidence Based Practice
Download :
0 | Pages :
8
Course Code: SNM660
University: The University Of Sheffield
MyAssignmentHelp.com is not sponsored or endorsed by this college or university
Country: United Kingdom
Answers:
Critical reflection on the objective, design, methodology and outcome of the research undertaken Assessment-I
Smoking and tobacco addiction is one of the few among the most basic general restorative issues, particularly to developed nations such as the UK. It has been represented that among all risk segments smoking is the fourth driving purpose behind infections and other several ailments like asthma, breathing and problems in the l…
Read
More
Tags:
Australia Maidstone Management Business management with marketing University of New South Wales Masters in Business Administration
BSBHRM513 Manage Workforce Planning
Download :
0 | Pages :
20
Course Code: BSBHRM513
University: Tafe NSW
MyAssignmentHelp.com is not sponsored or endorsed by this college or university
Country: Australia
Answer:
Task 1
1.0 Data on staff turnover and demographics
That includes the staffing information of JKL industries for the fiscal year of 2014-15, it can be said that the company is having problems related to employee turnover. For the role of Senior Manager in Sydney, the organization needs 4 managers; however, one manager is exiting. It will make one empty position which might hurt the decision making process. On the other hand, In Brisba…
Read
More
MKT2031 Issues In Small Business And Entrepreneurship
Download :
0 | Pages :
5
Course Code: MKT2031
University: University Of Northampton
MyAssignmentHelp.com is not sponsored or endorsed by this college or university
Country: United Kingdom
Answer:
Entrepreneurial ventures
Entrepreneurship is the capacity and willingness to develop, manage, and put in order operations of any business venture with an intention to make profits despite the risks that may be involved in such venture. Small and large businesses have a vital role to play in the overall performance of the economy. It is, therefore, necessary to consider the difference between entrepreneurial ventures, individual, and c…
Read
More
Tags:
Turkey Istanbul Management University of Employee Masters in Business Administration
MN506 System Management
Download :
0 | Pages :
7
Course Code: MN506
University: Melbourne Institute Of Technology
MyAssignmentHelp.com is not sponsored or endorsed by this college or university
Country: Australia
Answer:
Introduction
An operating system (OS) is defined as a system software that is installed in the systems for the management of the hardware along with the other software resources. Every computer system and mobile device requires an operating system for functioning and execution of operations. There is a great use of mobile devices such as tablets and Smartphones that has increased. One of the widely used and implemented operating syste…
Read
More
Tags:
Australia Cheltenham Computer Science Litigation and Dispute Management University of New South Wales Information Technology
Next