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An Optimal Farmland Allocation E-Service Deployment

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10192))

Abstract

This research develops an intelligent farmland allocation e-service. The objective of the research is to provide an effective production and cooperative model between peasants and social enterprises. Since the production and marketing manager needs to visit organic-certified farmlands and to offer advices, and help to decide what types of agricultural commodities will be planted. Social enterprises offer their peasants plant-to-order. Thus, the research creates an intelligent farmland allocation e-service for organic produce, and users also adopt an optimization model which is capable of searching for the best combination of agricultural commodities based on the predefined lowest planting costs. The research also can be viewed as an automatic recommendation for peasants and certain production and marketing managers of social enterprises.

In traditional, a company case of certain social enterprise uses the manual allocating and worksheet file management. The research introduces the innovative service for social enterprise and peasants to improve the pervious service process. The social enterprise can create a new way to collaborate and improve productivity. In order to embody the agricultural innovation, the peasants and social enterprise can achieve the value co-creation of business and social values. Even the proposed service can be used to support and land friendly and sustainable development of safe agricultural commodities.

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References

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Correspondence to Wei-Feng Tung .

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Tung, WF., Pan, CL. (2017). An Optimal Farmland Allocation E-Service Deployment. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10192. Springer, Cham. https://doi.org/10.1007/978-3-319-54430-4_9

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  • DOI: https://doi.org/10.1007/978-3-319-54430-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54429-8

  • Online ISBN: 978-3-319-54430-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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