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Advances in Modeling Agricultural Systems
Petraq PapajorgjiPanos M. Pardalos
出版Springer Science & Business Media, 2009-02-28
主題Computers / Computer ScienceTechnology & Engineering / Agriculture / GeneralComputers / Computer SimulationScience / Environmental ScienceBusiness & Economics / Information ManagementComputers / Software Development & Engineering / GeneralMathematics / AppliedComputers / GeneralTechnology & Engineering / Environmental / GeneralBusiness & Economics / Business Mathematics
ISBN03877518159780387751818
URLhttp://books.google.com.hk/books?id=rqFCrpjrwHsC&hl=&source=gbs_api
EBookSAMPLE
註釋Agriculture has experienced a dramatic change during the past decades. The change has been structural and technological. Structural changes can be seen in the size of current farms; not long ago, agricultural production was organized around small farms, whereas nowadays the agricultural landscape is dominated by large farms. Large farms have better means of applying new technologies, and therefore technological advances have been a driving force in changing the farming structure. New technologies continue to emerge, and their mastery and use in requires that farmers gather more information and make more complex technological choices. In particular, the advent of the Internet has opened vast opportunities for communication and business opportunities within the agricultural com- nity. But at the same time, it has created another class of complex issues that need to be addressed sooner rather than later. Farmers and agricultural researchers are faced with an overwhelming amount of information they need to analyze and synthesize to successfully manage all the facets of agricultural production. This daunting challenge requires new and complex approaches to farm management. A new type of agricultural management system requires active cooperation among multidisciplinary and multi-institutional teams and ref- ing of existing and creation of new analytical theories with potential use in agriculture. Therefore, new management agricultural systems must combine the newest achievements in many scientific domains such as agronomy, economics, mathematics, and computer science, to name a few.