Farm Information Management Infrastructures in the Future

Nikander, Jussi; Koistinen, Markku; Laajalahti, Mikko; Pesonen, Liisa; Ronkainen, Ari; Suomi, Pasi

doi:10.1109/dexa.2015.38

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…An addition bound for average temperature (θ aver min , θ aver max ) is also considered, as shown in Equation (22). Constraints of water temperatures for the heat pipe (θ gh_htp min , θ gh_htp max ) and cooling pipe (θ gh_chl p min , θ gh_chl p max ) are given by Equation (23). Constraints of water contents in the air of Equations (24) and (25) are modeled using Equations (5)- (7).…”

Section: Greenhouse Constraintsmentioning

confidence: 99%

“…Meanwhile, the development of the agriculture sector is at its beginning stages and various researches are carried out in [23][24][25]. In [23], the authors have proposed a sophisticated information and communication technology (ICT) infrastructure for gathering, storing, analyzing, and exploiting various information in planning and decision making for future farms. In [24,25] a cloud-based platform is studied for combining agriculture technology with ICT.…”

Section: Introductionmentioning

confidence: 99%

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A Multi-Agent System-Based Approach for Optimal Operation of Building Microgrids with Rooftop Greenhouse

et al. 2018

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In this paper, an optimal energy management scheme for building microgrids with rooftop greenhouse is proposed. A building energy management system (BEMS) is utilized for the optimal fulfilment of energy demands in the building and the greenhouse. The exhaust heat generated due to the operation of air conditioners in the building is used for fulfilling the cooling demands of the greenhouse via chillers. In addition to thermal and cooling demands, the four major control parameters (temperature, humidity, light intensity, and CO 2 concentration) are also considered for optimal growth of crops in the greenhouse. A multi-agent system (MAS) is adopted to realize the interaction among several households of the building, the greenhouse, and the BEMS. The MAS comprises of several inner-level, intermediate level, and upper-level agents, which are responsible for their respective tasks. The performance of the proposed optimization strategy is evaluated for two seasons of a year, i.e., summer and winter. Numerical simulations have demonstrated the effectiveness of the proposed operation scheme for optimal operation of building microgrids with rooftop greenhouses.

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Section: Greenhouse Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multi-Agent System-Based Approach for Optimal Operation of Building Microgrids with Rooftop Greenhouse

et al. 2018

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GeoBox: design and evaluation of a tool for resilient and decentralised data management in agriculture

Kuntke

Kaufhold

Linsner

et al. 2023

Behaviour & Information Technology

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Could NoSQL Replace Relational Databases in FMIS?

Rodrigues

Guimarães

2018

Innovations and Trends in Environmental and Agricultural Informatics

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FMIS (farm management information systems) is the computational tool responsible to process data to get information that improves farmers' decision support. The data manipulated in FMIS is originated from diverse sources, stored, and read whenever necessary without subsequent modifications, thus dismissing the necessity of complex data storage systems such as offered by the relational model. Due to its capability to handle with high performance, a large amount of unstructured data and to reduce the complexity of applications, the NoSQL data storage model, a convenient alternative to relational model, recently gained a lot of attention in the information systems market. This way, this chapter discusses how NoSQL models could improve the FMIS architecture and performance when used as data storage. Some works that have already benefited from NoSQL model adoption are reviewed and convenient use cases where both data storage models could be well used in FMIS's architecture are advised and discussed.

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Farm Information Management Infrastructures in the Future

Cited by 3 publications

References 7 publications

A Multi-Agent System-Based Approach for Optimal Operation of Building Microgrids with Rooftop Greenhouse

A Multi-Agent System-Based Approach for Optimal Operation of Building Microgrids with Rooftop Greenhouse

GeoBox: design and evaluation of a tool for resilient and decentralised data management in agriculture

Could NoSQL Replace Relational Databases in FMIS?

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