Zero Hunger (2030) Aspect via Smart Computing and Sustainable Development
Task: The aim of this assessment ¡s to select an issue and synthesis a Smart Computing solution that can be scaled up to a large population using the various technologies and methodologies. The solutions should be based on what was discussed in this module. In addition, you also can use specific technologies discussed ¡n the previous two modules to enhance your solution.
In this task, a student needs to first research on the 17 interconnected Sustainable Development Goals (SDGs) defined by the United Nations to achieve by 2030. Using your own background and experience, you must identify a problem in line with the SDGs. Even though, the 17 sustainable development goals are interconnected a student is only expected to focus on one sustainable development goal.
Important aspect of this assignment is to demonstrate, in this digitally connected society, how you can do things differently to achieve a desirable outcome.
As information storage and processing are undergoing a phenomenal transformation, the world of atoms is getting mirrored into bits using sensors and user input (participatory sensing). Digital technologies with ubiquitous digital connectivity, mobiles devices with built in sensors and two-way rich multimedia communication are changing the communication paradigm. This in turn creates a new Computing paradigm, where is possible to build new communities and create new business models to effectively fulfil human needs.
Information and Communication Technology (ICT) can enhance outcomes at three levels: Activity level, Process level and System level. Sustainable Development goals cannot be achieved in isolation and needs system level thinking in building Smart Computing application to satisfy the human needs and build communities. The proposed solutions to such goals should make use of systems thinking and be easily scalable to reach the billions of people.
“Smart Computing Framework for Sustainable Development” is developed to achieve sustainability and accelerate the effort through multi-level coordination in the current digitally connected society. This framework shows a pathway to build solutions that needs systems thinking."
This paper mainly sheds light on the different practical arrangement to manage urban areas being created under Smart City Mission to finish supportable advancement. Sustainability is also a notable thing for the administrations and inhabitants of the urban communities. This can be a long term purpose as well as governments can development in the direction of rising such refers to which are shaped beneath the umbrella of the expression sustainability. The current paper mainly examines that different planning are arranging of brilliant urban communities will assurance that lawfully binding promise is content and assets are used suitably. Thus, the need for great meaning is a convenient expansion practice. This paper also highlights the factors of smart computing enabling sustainable development concept as well as cause analysis structure can be investigated properly.
Smart computing enabling sustainable development
Smart Computing is a powerful strategy in order to coordinate the capacities of hardware of computers, indoctrination, web-based life as well as mail arranges jointly with superior sensors, confidence gadgets, web progression, huge information study, computational imminent and crafty frameworks for acknowledging the different creative applications (Joshi, Saxena & Godbole, 2016). On the other hand, to bring progression over sustainable development with smart computing, therefore, it can be lengthily collection into two notable regions that how to structure and manufacture shrewd figuring frameworks. Smart computing also describes how to utilize dispensation modernism to pattern sparkling things and pick up human life (Harmon, Castro-Leon & Bhide, 2015).
As per the above point perspective, it can be said that the smart computing system that is mainly associated with the Internet of Things has been developed rapidly to enable the different features of sustainable development structure. Therefore as per the smart computing process, it has been seen that there has as of late been an aware push for urban communities over the world to be dazzling and noticeably more sparkling. Along these lines more and more reasonable by generating as well as actualizing huge in rank move ahead and their submission corner to corner over poles apart urban spaces with the prospect of attaining the required dimension of sustainability and civilizing the expectation for daily comforts of the populace (Albino, Berardi & Dangelico, 2015). Having picked up energy and balance as a talented reaction to the obligatory transform towards sustainability and the difficulties of urbanization, confidence and supplementary. Smart urban communities as ways to deal with in turn driven urbanism are gradually approval the propelled types of ICT to get better their appearance in agreement with the objectives of possible progression and the supplies of urban development (Chavarría-Barrientos, Batres, Wright & Molina, 2018).
Sustainable Development Goals by the United Nations to be achieved by 2030
Based on this above agenda it can be said that there are many sustainable development goals with smart computing and that need to be enhanced properly. This Agenda of smart computing over sustainable development is a game plan for persons, earth and prosperous. It moreover tries to reinforce all-inclusive agreement in a bigger chance (Chavarría-Barrientos, Batres, Wright & Molina, 2018). Therefore, it can be said that with the sustainable development over smart computing perceive that assassination poverty in the total of its construction and capacity, counting offensive destitution, is the best international test and an exceptional indispensable for maintainable development. In this paper, among the 17 sustainable development goals the aspect of Zero Hunger has been selected. All state and all associates, acting in communal friendship, will actualize this agreement. Smart computing over sustainable is set elsewhere to free humanity from the domination of impoverishment and want and to make up that power and authenticate earth. The 17 Sustainable Development Goals and 169 targets that are declared at present illustrate the degree and yearning of this new all wide-ranging Agenda (Joshi, Saxena & Godbole, 2016).
The aspect of Zero Hunger
The objectives behind the achievement of sustainable goals by the United Nations to be achieved by the end of 2030 are considered to be the roadmap towards ensuring global growth and sustenance. In this regard, there are major 17 areas of operation in which the Global Goodwill organization plans to reform the world for the better (Ginige,2018). Out of the catalog of 17 goals the second section deals with the aspect of "Zero Hungers”. According to the measuring bars, it has been found that with relentless efforts, there has been a drop in the number of undernourished people across the globe.
However, some of the major locations in the world, especially, Africa is still plagued by the hunger challenge. It has been estimated that over 90 million children in the African sub-Saharan region are marked by undernourishment and lack of food provisions (Bibri & Krogstie, 2016). Thus, the SDG aims at ensuring food provision and security in these regions by the end of 2030. A specific case is drawn in this regard to explaining the use of smart computing in delegating and mitigating the issue.
SDG no 2
(Source: Bibri & Krogstie, 2016)
Mitigation of Hidden Hunger in Africa: This section provides the practical application of the Smart Computing framework used in achieving the hunger issue and mitigating the same in the African and Sub-Saharan region. According to statistics, it has been noted that 39% of the children in Eastern Africa, 32% in West Africa and 28% in Central Africa suffer from undernourishment. Thus, to cater to the issue, the technical aspect of smart computing is being implemented (Song, et al.2017). Using the current framework of smart computing, it has been estimated that children in Africa are deprived of consuming enough nutrients that are necessary for their physical and mental growth.
The new solution based on smart computing is based on analyzing the issue from a closer statistical perspective and thereby increasing cognizance among the people by spreading effective information. The ability to understand the current importance of agriculture in developing the economic statistics of the nation is being included in the system interface (Dawson et al.2018). The proposed solution is based on the calculation of the household production of fruits and vegetables by selecting diverse crops that can deal with the hidden hunger in Africa, especially Southern Africa. The interactive design is being prepared and devised, to create a strong connection between the end-users of the application (Bhandari & Banjara, 2015).
The data collected on the food statistics are being segregated based on 16 categories to have a better understanding. The technical computing is done based on the implementation of a mobile application that has graphical user interfaces and the users are allowed to see the pages to have a visual understanding of the relevance of the subject (Zuma et al.2018). The workflow of the Smart Computing system interface is developed from the base level whereby the original information shall be gathered from the household activities on agriculture and food production. The dietary information is procured based on the missing food groups and help in assessing the actual gap between the production and the provision (Pray & Ledermann,, 2016).
The crop list is given to the users for access, understanding, and assessment. Since Smart Computing is done with the help of a mobile application; the users of the mobile devices, especially from countries like Kenya, Nigeria, and South Africa, can register with the app. Post the free registration, the users can share their personal information along with a location that is automatically being tracked with the help of the GPRS system. Based on the 16 categories, the users can select the segment of food that they had consumed in the last 24 hours (James & Zikankuba, 2017).
By conducting the survey, the application can represent the food category that is being missed and the users who are missing on the sharing the app. This app is indeed effective in sharing pertinent information about the availability of the food categories and allows the researchers to act accordingly (Biesalski & Birner, 2018). With the provision of the backend data analytics, the researchers can derive the information from the history page and can use them for further study. Additionally, the new app has a myriad of filters that provide information on the date, food groups, and topographical locations. Hence, it is evident from the discussion, that the use of Smart Computing is used in achieving the SDG asserted by the United Nations to be accomplished by 2030.
The workflow of Smart Computing system for Hidden Hunger in Africa
(Source: Biesalski & Birner, 2018)
By the means of this paper, it can be concluded that a smart computing framework for sustainable development can bring different benefits for the people as well as most of the business organizations. Therefore, it can be said that with the help of IoT that is associated with the smart computing framework over sustainable development different business organizations will be benefitted to do their works within a very short time. On the other hand, in the present period, it is clear that the urban areas or cities are a heart of expansion and opportunity, and therefore it is necessary to obtain a proper government approach. Within the different countries, the concept of ‘smart city’ as a term, this is ever more apposite for cities in order to build a shaped nation. Sustainable Development assignments are being prepared by our IT assignment help experts from top universities which let us to provide you a reliable best assignment help service.
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Albino, V., Berardi, U., & Dangelico, R. M. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of urban technology, 22(1), 3-21.
Chavarría-Barrientos, D., Batres, R., Wright, P. K., & Molina, A. (2018). A methodology to create a sensing, smart and sustainable manufacturing enterprise. International Journal of Production Research, 56(1-2), 584-603.
Bhandari, S., & Banjara, M. R. (2015). Micronutrients deficiency, a hidden hunger in Nepal: prevalence, causes, consequences, and solutions. International scholarly research notices, 2015.
Bibri, S. E., & Krogstie, J. (2016). Big Data and Context–Aware Computing Applications for Smart Sustainable Cities. 2016-researchgate. net.
Biesalski, H. K., & Birner, R. (Eds.). (2018). Hidden Hunger: Strategies to Improve Nutrition Quality. Karger Medical and Scientific Publishers.
Ginige, A. (2018). Systems engineering approach to smart computing: From farmer empowerment to achieving sustainable development goals. International Research Conference on Smart Computing and Systems Engineering-SCSE 2018.
James, A., & Zikankuba, V. (2017). Postharvest management of fruits and vegetable: A potential for reducing poverty, hidden hunger and malnutrition in sub-Sahara Africa. Cogent Food & Agriculture, 3(1), 1312052.
Pray, C., & Ledermann, S. (2016). Genetically engineered crops and certified organic agriculture for improving nutrition security in Africa and South Asia. In Hidden Hunger (Vol. 115, pp. 175-183). Karger Publishers.
Song, H., Srinivasan, R., Sookoor, T., & Jeschke, S. (Eds.). (2017). Smart cities: foundations, principles, and applications. John Wiley & Sons.
Zuma, M., Kolanisi, U., & Modi, A. (2018). The potential of integrating provitamin A-biofortified maize in smallholder farming systems to reduce malnourishment in South Africa. International journal of environmental research and public health, 15(4), 805.
Harmon, R. R., Castro-Leon, E. G., & Bhide, S. (2015, August). Smart cities and the Internet of Things. In 2015 Portland International Conference on Management of Engineering and Technology (PICMET) (pp. 485-494). IEEE.