Expert system for remote process automation in multiplatform servers, through human machine conversation

Chilcanan, David; Navas, Patricio; Escobar, S Milton

doi:10.23919/cisti.2017.7975913

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Recent research in this area covers the adaptability of robot design to the agriculture sector, the improvement of navigation conditions through additional sensing [82,83,203] and localization capabilities as well as real-time image processing [84,85] and camera detection [86] to maximize the operational capabilities and behaviour of robots and collaborative robots (cobots). Robots can assist humans [87,88] for difficult tasks or replace them for difficult ones. The cost reduction [77] effectiveness is demonstrated and research in decision error reduction [89][90][91] is intensive to improve accuracy by simulation [92][93][94] and by more precise path finding [14,95] and guidance algorithms [96,97].…”

Section: -Precision Farming Techniques and Robot Developmentmentioning

confidence: 99%

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Lezoche

Hernández

Ruiz

et al. 2020

Computers in Industry

571

339

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income.pdf 4.0 should help meeting sustainable challenges by increasing the agri-food supply chain stakeholders revenues as well as decreasing their pressure for handling complex and external factors they cannot control, such as weather, market behaviours and policies, but also to react on time by visualising current trends in needs. This paper focus principally on the factory farm model issued from the European and north American style. In those typologies of farms the Industry 4.0 elements can be introduced and merged with the agricultural domain to create the Agri-Food 4.0. The focus is more specialised on the industrial farming although the Agri-Food 4.0 is started to be adapted also to the organic and silvo-pasture paradigms. Thus, this paper, considering a review over than two hundred papers, provides a contribution to knowledge by establishing the linkages between new 4.0 trends in technologies and Agri-Food Supply Chain Challenges, which opens the 4.0 research field for a multidisciplinary work. The choice of the literature review methodology focused firstly on key words related to the Agri-food technology, then the second approach was to focus on selected journals and at the end we looked for the data-based repository and the linked publications. To accomplish this, the structure in this paper is as follows: in the first place, a compressive state of the art of Agri-Food 4.0 related technologies is covered. In the second place, a review and contribution coming from digital technologies to the new supply chain methods in Agri-Food shows linkages with next trends and technologies. Next, and linked to the agri-food supply chain challenges, the fourth section presents new trends and models in agri-food supply chains, especially in the domain of risk management, collaboration, governance, cold chain management, globalization, information and communication technologies, Logistics, supply chain structures and sustainable agri-food supply chains. Finally, the fifth section covers the main conclusions, visions and perspectives for this novel research. 2-Agri-food 4.0 and Technologies a State of the Art The agricultural sector has been active in digital innovation for decades already. Especially the advances in Precision Agriculture, remote sensing, robots, farm management information

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Section: -Precision Farming Techniques and Robot Developmentmentioning

confidence: 99%

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Lezoche

Hernández

Ruiz

et al. 2020

Computers in Industry

571

339

View full text Add to dashboard Cite

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“…As a characteristic element of an Intelligent system, is born the Internet of Things (IoT), a digital interconnection of everyday objects with the Internet [5], adapting the prototype developed to the 7 layers of the IoT[6], creating an intelligent network with secure communication protocols (HTTPS -MQTT), improving interaction with users through a virtual assistant.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of Residential Drinking Water Service Consumption Using Human Machine Interaction (HCI) Techniques

Chilcanan

Cuzco

Uyaguari

2019

Proceedings of the 2019 3rd International Conference on Advances in Artificial Intelligence

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The integration of the drinking water network with information and communication technologies (ICTs) is the future of automated metering for users and service providers, the modern world cannot be conceived without water and the current infrastructure of manual metering, is poorly adapted to current needs, every day the demand for this vital liquid is greater and data collection from meters must be automated, allowing users to make queries of water consumption and tariffs to pay, however, it is necessary to create a centralized intelligent network with better adaptability to the meter; Implementing these technologies is expected to significantly reduce reading times in measurements, failure reports and changes in the drinking water network. In developing countries such as Ecuador, does not provide a metering infrastructure, however in the country, is thinking about creating Smart Grids for the adequacy of intelligent cities, a big step into the future. This article presents an implementation proposal for Smart Water Meter (SWM), by means of a virtual assistant and a metering network, allowing to consult the m3 of water consumed per day, week and month, as well as the total amount to be paid per consumption, integrating hardware and free software, for greater security in communications.

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Virtual Assistant for IoT process management, using a middleware

Chilcanan

Navas

Escobar

2018

Proceedings of the 2018 2nd International Conference on Algorithms, Computing and Systems

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Expert system for remote process automation in multiplatform servers, through human machine conversation

Cited by 3 publications

References 7 publications

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Monitoring of Residential Drinking Water Service Consumption Using Human Machine Interaction (HCI) Techniques

Virtual Assistant for IoT process management, using a middleware

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