Systems Theory Applied to Agriculture and the Food Chain

Systems Theory Applied to Agriculture and the Food Chain
Author: J.G.W. Jones
Publisher: Springer Science & Business Media
Total Pages: 394
Release: 1990-09-30
Genre: Technology & Engineering
ISBN: 9781851665105

Biological and physiological systems: animal sciences. Plant-animal interactions in northern temperate sown grasslands and semi-natural vegetation. Exploitation of the systems approach in technical design of agricultural enterprises. Application of systems theory to farm planning and control: modelling resource allocation. Optimising the mixture of enterprises in a farming system. Farming systems research-extension. Food policy and food security planning: institutional approaches to modelling grain markets and food security in Sub-Saharn Africa. A systems view of commercial supply and marketing links. Agroecosystems. Understanding and managing changes in agriculture. Agricultural sector modelling for policy development. Of agricultural systems and systems agriculture: systems methodologies in agricultural education. Extension education: Top(s) Down, Bottom(s) Up and Other Things.

Simulation and Systems Analysis in Agriculture

Simulation and Systems Analysis in Agriculture
Author: Csaba Csáki
Publisher: Elsevier Publishing Company
Total Pages: 266
Release: 1985
Genre: Business & Economics
ISBN:

Agricultural systems and methods for their study; The systems approach and agriculture; The system and the agricultural system; Classification of agricultural systems; Mathematical methods for the study of agricultural systems; Methodology of simulation; What is simulation? The process of simulation; Simulation of agricultural production systems; Simulation of plant cultivation systems; Simulation of production processes systems; New features in the technological development in agriculture; Modelling and simulation at the level of agricultural firms; Linear dynamic models for medium-term plans; Simulation of the entire farm; The modelling of national agricutural systems: the long-term development perspectives of the Hungarian food production; Various ways of modelling national agricultural systems; The system model of the centrally planned food and agriculture; The simulation model of the Hungarian food production; Perspectives in the long-term development of Hungarian food production as projected by HAM; International agricultural models: the agriculture of the CMEA in 2000; The structure of the international agricultural models; Major types of the international agricultural models; Limits and potentials in the development of CMEA agriculture: the use of an international model.

World-systems Analysis

World-systems Analysis
Author: Immanuel Maurice Wallerstein
Publisher: Duke University Press
Total Pages: 132
Release: 2004
Genre: History
ISBN: 9780822334422

A John Hope Franklin Center Book.

Food Systems Modelling

Food Systems Modelling
Author: Christian J. Peters
Publisher: Academic Press
Total Pages: 390
Release: 2022-01-08
Genre: Technology & Engineering
ISBN: 0128221100

Food Systems Modelling emphasizes sustainability, including the impact of agriculture and food production on profits, people and environment, with a particular focus on the ability of humanity to continue producing food in the midst of global environmental change. Sections introduce the purpose of models, the definition of a food system, the importance of disciplinary, interdisciplinary, and transdisciplinary inquiry, cover specific branches of modeling in the sustainability of food systems, and wrestle with the challenge of communicating modeling research and appropriately integrating multiple dimensions of sustainability. This book will be a welcomed reference for food scientists, agricultural scientists, nutritionists, environmental scientists, ecologists, economists, those working in agribusiness and food supply chain management, community and public health, and urban and regional planning, as well as academicians and graduate students interested in the sustainability of food systems. - Emphasizes sustainability, including the impact of agriculture and food production on profits - Focuses on the ability of humanity to continue producing food in the midst of global environmental change - Deciphers what models can teach us about food system sustainability

Farming Systems Research into the 21st Century: The New Dynamic

Farming Systems Research into the 21st Century: The New Dynamic
Author: Ika Darnhofer
Publisher: Springer Science & Business Media
Total Pages: 488
Release: 2012-05-30
Genre: Technology & Engineering
ISBN: 9400745036

Farming Systems Research has three core characteristics: it builds on systems thinking, it depends on the close collaboration between social and biophysical sciences, and it relies on participation to build co-learning processes. Farming Systems Research posits that to contribute towards sustainable rural development, both interdisciplinary collaborations and local actor engagement are needed. Together, they allow for changes in understanding and changes in practices. This book gives an overview of the insights generated in 20 years of Farming Systems Research. It retraces the emergence and development of Farming Systems Research in Europe, summarises the state-of-the-art for key areas, and provides an outlook on new explorations, especially those tackling the dynamic nature of farming systems and their interaction with the natural environment and the context of action.

Systems Analysis and Modeling in Food and Agriculture

Systems Analysis and Modeling in Food and Agriculture
Author: K.C.Ting
Publisher: EOLSS Publications
Total Pages: 488
Release: 2009-02-12
Genre:
ISBN: 1848261330

Systems Analysis and Modeling in Food and Agriculture is a component of Encyclopedia of Food and Agricultural Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Systems analysis and modeling is being used increasingly in understanding and solving problems in food and agriculture. The purpose of systems analysis is to support decisions by emphasizing the interactions of processes and components within a system. Frequently investigated systems level questions in agriculture and food are relevant to the 6 E's: Environment, Energy, Ecology, Economics, Education, and Efficiency. The theme on Systems Analysis and Modeling in Food and Agriculture with contributions from distinguished experts in the field provides information on key topics related to food and agricultural system. The coverage include an overview of food system; system level aspects related to energy, environment, and social/policy issues; knowledge bases and decision support; computer models for crops, food processing, water resources, and agricultural meteorology; collection and analysis methods for data from field experiments; use of models and information systems. This volume is aimed at the following a wide spectrum of audiences from the merely curious to those seeking in-depth knowledge: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.

Systems Analysis and Modeling

Systems Analysis and Modeling
Author: Donald W. Boyd
Publisher: Elsevier
Total Pages: 379
Release: 2000-10-19
Genre: Technology & Engineering
ISBN: 0080518397

Systems Analysis and Modeling presents a fresh, new approach to systems analysis and modeling with a systems science flavor that stimulates systems thinking. After introducing systems modeling principles, the ensuing wide selection of examples aptly illustrate that anything which changes over time can be modeled as a system. Each example begins with a knowledge base that displays relevant information obtained from systems analysis. The diversity of examples clearly establishes a new protocol for synthesizing systems models. - Macro-to-micro, top-down approach - Multidisciplinary examples - Incorporation of human knowledge to synthesise a systems model - Clear and concise systems delimitation - Complex systems using simple mathematics - "Exact" reproduction of historical data plus model generated secondary data - Systems simulation via systems models