Programmable Process Structures of Unified Elements for Model-Based Planning and Operation of Complex Agri-environmental Processes

Monika Varga (), Gergo Gyalog (), Janos Raso (), Balazs Kucska () and Bela Csukas ()
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Monika Varga: Hungarian University of Agriculture and Life Sciences, Kaposvar Campus
Gergo Gyalog: Hungarian University of Agriculture and Life Sciences, Institute of Aquaculture and Environmental Safety, Research Center of Fisheries and Aquaculture
Janos Raso: University of Sopron, Forestry Research Institute
Balazs Kucska: Hungarian University of Agriculture and Life Sciences, Institute of Aquaculture and Environmental Safety, Department of Applied Fish Biology
Bela Csukas: Hungarian University of Agriculture and Life Sciences, Kaposvar Campus

A chapter in Information and Communication Technologies for Agriculture—Theme III: Decision, 2022, pp 223-249 from Springer

Abstract: Abstract Nowadays, complex agri-environmental systems are supported by new generations of sensors and data acquisition methodologies of Information Technology. However, the decisions about the integrated development of agriculture-related sustainable and resilient process networks require the consideration of the causally determined balances of the underlying complex interactions. Accordingly, the computer-assisted planning and operation of agri-environmental processes inspire the development of new, easily modifiable, extensible, and connectable modeling and simulation methodologies. In the past years, the method of Programmable Process Structures (PPS) has been implemented for studying of various complex agri-environmental processes. Here, PPS will be illustrated by case studies for a recirculation aquaculture system, for a complex food web-involved fishpond, and for an agroforestry system. The chapter aims to illustrate the role of dynamic modeling and simulation in support of planning and decisions at various levels, utilizing the same general framework of PPS.

Keywords: Agri-environmental processes; Dynamic modeling; Programmable Process Structures; Model-based decision; Sustainability-specific features; Aquaculture; Agroforestry (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-84152-2_11

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