Smart dairies-enablement of smart city at gross root level

Publication Date

6-8-2017

Document Type

Conference Proceeding

Publication Title

Proceedings - 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017

DOI

10.1109/BigDataService.2017.35

First Page

118

Last Page

123

Abstract

Rural and urban areas are linked. A basic definition of rural-urban linkages is that they consist of flows (of goods, people, information, finance, waste, information, social relations) across space, linking rural and urban areas (Cecilia, 2015). Economically, rural and urban areas are linked by the reciprocal exchange of unprocessed and processed products, with both areas acting as mutually reinforcing markets [1]. Perhaps a less descriptive definition is of the functional links between sectors (agriculture, industry, and services). The latter is central to structural change taking place in both rural and urban areas. Additionally, rural and urban economies exhibit symbiotic relationship. Cecilia [2] notes 'in many regions of the world we are witnessing an increase in production, especially of perishable and high-value products such as fruit, vegetables and dairy, responding to urban demand'. This is especially the case in rural areas that are well connected to urban markets by transport links, communications and electricity, and by networks of local traders (Cecilia, 2015). This is especially true with Dairy Industry. The dairy industry exhibits mini ecosystem of rural and urban linkage. The dairy industry plays an important role for both rural and urban dwellers: a) a major source of rural employment (12% to 14% of world population [6]), b) consistent non-seasonal source of income with immediate cash returns, c) major urban consumer staple and d) major contributor of agriculture GDP in developing countries. In many developing countries, dairy industry employees majority of workforce from rural and have direct influence on rural and urban commerce. As per the Food and Agriculture Organization of the United Nations [3], 'more than 6 billion people worldwide consume milk and milk products, the majority of these people live in developing countries' [2]. It's clear from the above, urban and rural areas have symbiotic relationship and in order to make urban areas smart, aka Smart Cities, it is imperative that the linkage of urban, in this case rural areas, needs be Smart entities, aka. Smart Villages. For making Smart Village, according to Viswanadham [7] 'the existing infrastructure and services (such as Power, Water, Buildings, Retail, Health care, etc.) need to be upgraded and in building the new ones. This requires standardization, use of IT and sensor networks'. In this research paper, we propose innovative approach to develop dairy IoT sensor network that enables Smart dairy, making Smart Villages a reality. We offer development of Smart Dairy IoT Sensors that not only identify cattle related health issues but also enable data and information sharing with dairy farmers for better predicting milk production and improvement of productivity. In addition, the data collected from IoT sensor and analytics models play pivotal role in preventing spread of viral flus and cattle health issues. Finally, the data collected from our IoT Dairy sensors and analytics will enable digital transformation at village level thus enabling cities smarter. The paper presents prototyping solution design as well as its application and certain experimental results.

Keywords

CEP, Decision Tree, Internet Of Things, IoT, IoT reference architecture, Machine Learning, Regression Analysis, Term Frequency and Inverse Document Frequency

Department

Computer Engineering

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