Internet of Things technologies in feed production and their efficiency

Author(s):  
E.V. Khudyakova ◽  
◽  
Kh.K. Khudyakova ◽  
M.N. Stepantsevich ◽  
M.I. Gorbachev ◽  
...  

Currently, Internet of Things technologies are increasingly used in agriculture. One of the distinctive features of the industry is the territorial dispersion of means of production and objects of labor, so the use of Internet of Things technologies gives the greatest effect here. In the context of the need to strengthen food security for such product groups as milk and dairy products, as well as beef, an important factor in increasing production is a strong feed base. The potential of livestock productivity can be fully realized only through the use of high-quality feed. Since 65-80% of the feed ration of livestock consists of grass feed (hay, haylage, green fodder, silage), this is exactly the segment of feed production where it is necessary to activate the reserves of its development. Obtaining high-quality grass feed depends largely on establishing the timing of mowing grass, when the ratio between the decreasing protein content and the increasing amount of fiber is optimal. Failure to comply with the optimal timing of harvesting grass feed can lead to a decrease in livestock productivity by up to 20%. Taking into account the large areas of forage crops, this task can be solved by using the Internet of Things technology with the use of remote sensing of crops and unmanned aerial vehicles (drones).

Author(s):  
Noura E. Maghawry ◽  
Samy Ghoniemy

Social networks and Internet of things are two paradigms when integrated a new paradigm Internet of Everything is established that has its impact on revolutionizing various fields such as engineering, industry and healthcare. Social networks became nowadays of the most important web services on which people heavily rely, thus became a major source for information extraction for rational decision making considering individuals as social or socio sensors. Furthermore, people using sensors especially biological sensors enabled the use of internet of things technology in building intelligent healthcare systems. One of the challenges facing the design of such systems is the design of an intelligent recommender system that is able to deal with such big data. For that, this paper proposes a framework to develop an enhanced intelligent expert advisor-based health monitoring and disease awareness system. The proposed framework enables the researchers to design advisory systems that are able to observe physiological signals through the use of different bio sensors and integrate it with historical medical data together with   the massive data collected from social networks to provide accurate alerts and recommendations for many ailments inspected. The proposed Framework is designed to facilitate generic, dynamic and scalable process of integrating different types of social networks and bio sensors.


2017 ◽  
Vol 8 (1) ◽  
Author(s):  
I Gusti Bagus Astawa ◽  
I Ketut Agung Enriko

These days, the use of Internet technology can be found in almost every sector of human life. One of the advanced Internet technologies is Internet of Things (IoT), that is a technology where devices can communicate via Internet connectivity. It is used in many vital industries like automotive, electricity, home automation, and healthcare. This study aims to implement IoT technology for healthcare sector, i.e. in helping obesity people to pursue their weight-loss program (WLP). The result is a system which consists of a smart weight scale, a mobile application, and food menu recommendation database in order to help obesity people in their WLP program. A trial to some obesity patients is performed to collect data. Index Terms—Internet of things; overweight; weight loss program; food recommendation


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