This article offered a concise survey concerning analysis tools in the field of agricultural system researches. The first part outlined conventional analysis tools: systems simulation, mathematical programming and systems engineering. The second part showed new analysis tools such as life cycle assessment (LCA), material flow analysis and use of remote sensing, global positioning system (GPS) and geographic information system (GIS).
This paper summarizes system dynamics, tools for construction and execution of system dynamics, and applications to agricultural systems. System dynamics is an approach to simulation originally developed by Forester at MIT. Forester initially focused his approach on industrial systems, but now this approach is applied to many fields, containing ecosystems and agricultural systems. The system description is translated into the level and rate equations of a system dynamics model. “Stella” and “Vensim”, which are software for construction and execution of system dynamics, have good graphical user interface. The purpose of modeling is understanding and prediction. In agriculture, prediction of yield or plague of harmful insects is important. If predicted results by models are not suitable, managements are changed so as to take better results.
Evaluation of whole animal production systems from various environmental viewpoints has been required to reduce environmental impacts of animal production systems, since an increasing environmental consciousness in society requires action by the animal industry on environmental problems. The life cycle assessment (LCA) method, which evaluates the environmental impacts associated with a product, process or activity during its life cycle by describing its requirements for resource and the emissions, is expected to be highly effective for such evaluations. And studies about evaluation of using LCA and development of evaluation methods based on the LCA concept for animal production systems have been conducted in recent years. In this paper, we outlined the methodology of LCA, and reviewed LCA studies on animal production reported. Furthermore, we presented the studies that evaluated beef production and feeds prepared from food residues as examples of our research about environmental impact evaluation of animal production systems, and finally described challenges and future works in the research area of animal production LCA.
There are many methodologies to analyze or evaluate agricultural production systems. The methods or tools to select are naturally different according to aim of evaluation and to characteristic of objective systems. Some introduced researches in this report were a method with entropy and a multiple evaluation with five indexes. The farmer in which the concept of resource physics was applied focused on the waste side of the agricultural production systems. Layer production was selected as an objective system and simulation of economics, energy and entropy was performed for different regions and housing types to demonstrate. To the same objective systems, it was tried to express sustainability of system by using entropy production for linear system. The latter with 5 indexes which were economic balance, fossil energy input, nitrogen load, animal welfare and satisfaction rating of farmer, was applied to dairy production systems. Statues of H-district and S-district were indicated by plotting values of five indexes on a radar chart.
Today, it becomes a serious national problem that the amount of wild beast damages for crops is increasing. The effects are not only monetary lose but also decreasing of farming. The reason why the wild beast damages become conspicuous is debilitation of farm labor construction. The pullout from farming, aging of farmer and following as a side job put some distance make between farmers and farm. Moreover, the cultivation abandon fields along the mountainside make fuzzy the border between human and wild beast. The geographic information systems(GISs) are effective for collecting information and aggregating them. This paper introduces the situation and policy of wild beast damages in Kyoto, and discusses the possibility of applying GISs. After that, the GISs apply for confirmation of “decreasing effect” of wild beast damages by grazing project. This “decreasing effect” means decreasing wild beast damages by grazing at bamboo area neighboring farm. Finally, the problems for using GISs more effectively in wild beast policy were discussed. Those are (1) the construction of wild beast damage map which aggregated various data maps and (2) the update and community of the wild beast damage map.