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M2M in Agriculture - Business Models and Security Issues
by
Eren, E.
, Sell, J.
, Gansemer, S.
, Horster-Möller, T.
, Horster, B.
, Rusch, C.
, Grossmann, U.
2015
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M2M in Agriculture - Business Models and Security Issues
by
Eren, E.
, Sell, J.
, Gansemer, S.
, Horster-Möller, T.
, Horster, B.
, Rusch, C.
, Grossmann, U.
2015
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M2M in Agriculture - Business Models and Security Issues
2015
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Overview
Machine-to-machine communication (M2M) is one of the major innovations in the ICT sector. Especially in agricultural business with heterogeneous machinery, diverse process partners and high machine operating costs, M2M offers large potential in process optimization. Within this paper, a concept for process optimization in agricultural business using M2M technologies is presented using three application scenarios. Within that concept, standardization and communication as well as security aspects are discussed. Furthermore, corresponding business models building on the presented scenarios are discussed and results from economic analysis are presented.
Machine-to-machine communication (M2M) is one of the major innovations in the ICT sector. Especially in agricultural business with heterogeneous machinery, diverse process partners and high machine operating costs, M2M offers large potential in process optimization. The application of M2M technology in agriculture is targeted by several other research groups. Moummadi et. al. present a model for an agricultural decision support system using both multi-agent-system and constraint programming. The systems purpose is controlling and optimizing water exploitation in greenhouses. The agricultural sector is characterized by heterogeneous machinery and diverse process partners. Problems arise from idle times in agricultural processes, suboptimal machine allocation and improper planning. Sensors in machines record different parameters such as position, moving speed, mass and quality of harvested produce. The data is visualized within the portal and helps the farmer to optimize business processes to meet documentation requirements or to build data-based business models.
Publisher
Routledge,River Publishers
ISBN
8793237030, 9788793237032
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