The Experts below are selected from a list of 147 Experts worldwide ranked by ideXlab platform
Stephen Biggs - One of the best experts on this subject based on the ideXlab platform.
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Farming Systems Research and rural poverty: Relationships between context and content☆
Agricultural Systems, 1995Co-Authors: Stephen BiggsAbstract:Abstract In recent years there has been a great deal of interest in Farming Systems Research (FSR) as a means of getting formal Research and extension Systems to work with and respond to the needs of resource-poor farmers. However, the results of many FSR programmes have been disappointing. This paper reviews a number of ‘successful’ FSR activities and argues that the development and use of Research approaches and methods cannot be separated from the political, economic and institutional context in which they were developed and used. A closer examination of some of the new FSR methods shows that an understanding of the specific context in which these activities were developed and used is essential to understanding the potential relevance of the methods/approaches to other circumstances. A lack of an historical perspective concerning the source and advocacy of new FSR approaches and methods is one of the reasons why many FSR programmes in the past have given rise to disappointing results.
Martin K Van Ittersum - One of the best experts on this subject based on the ideXlab platform.
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semantic modeling in Farming Systems Research the case of the agricultural management definition module
Information Technologies in Environmental Engineering, 2007Co-Authors: Ioannis N Athanasiadis, Sander Janssen, David Huber, Andrea Emilio Rizzoli, Martin K Van IttersumAbstract:Farming Systems Research studies agricultural Systems and their interaction with the natural environment and ecoSystems. AgroecoSystems are highly complex due to the many feedbacks between natural processes, high geographical diversity and human factors involved both as the farmer’s decisions at farm household level and as the policy implementations at regional, national or European levels. This paper presents a novel approach for developing an Agricultural Management Definition Module (AMDM), by exploiting ontologies and semantic modeling. Specifically, a declarative approach has been utilized for conceptualizing Farming Systems and the management alternatives of a farm household. This conceptual model has been implemented as an ontology that ultimately has been used as the basis for software development and integration. This paper presents in detail the methodology used for developing AMDM and a real-world installation, part of the SEAMLESS integrated project.
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ITEE - Semantic Modeling in Farming Systems Research - The Case of the Agricultural Management Definition Module
Information Technologies in Environmental Engineering, 2007Co-Authors: Ioannis N Athanasiadis, Sander Janssen, David Huber, Andrea Emilio Rizzoli, Martin K Van IttersumAbstract:Farming Systems Research studies agricultural Systems and their interaction with the natural environment and ecoSystems. AgroecoSystems are highly complex due to the many feedbacks between natural processes, high geographical diversity and human factors involved both as the farmer’s decisions at farm household level and as the policy implementations at regional, national or European levels. This paper presents a novel approach for developing an Agricultural Management Definition Module (AMDM), by exploiting ontologies and semantic modeling. Specifically, a declarative approach has been utilized for conceptualizing Farming Systems and the management alternatives of a farm household. This conceptual model has been implemented as an ontology that ultimately has been used as the basis for software development and integration. This paper presents in detail the methodology used for developing AMDM and a real-world installation, part of the SEAMLESS integrated project.
S D Wratten - One of the best experts on this subject based on the ideXlab platform.
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arable acronyms analysed a review of integrated arable Farming Systems Research in western europe
Annals of Applied Biology, 1994Co-Authors: J M Holland, Geoffrey K Frampton, Tamer Cilgi, S D WrattenAbstract:Summary Arable production has come under increasing economic and environmental pressures, especially in the last decade. These have derived from over-production, decreased farm incomes and a concern with the possible environmental effects of intensive pesticide use associated with such intensive cultivation. A number of long-term Research programmes on integrated Farming Systems and their sustainability have recently been completed or are currently under way. In the UK, these include the ‘Boxworth’ project, ‘SCARAB’, TALISMAN’, RISC, ‘LINK Integrated Farming Systems’, ‘LIFE’ and the demonstration-only programme ‘LEAF’. These projects are reviewed in terms of their objectives, designs and results to date, and are compared with some parallel programmes in Germany, the Netherlands, Switzerland and France.
Ioannis N Athanasiadis - One of the best experts on this subject based on the ideXlab platform.
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semantic modeling in Farming Systems Research the case of the agricultural management definition module
Information Technologies in Environmental Engineering, 2007Co-Authors: Ioannis N Athanasiadis, Sander Janssen, David Huber, Andrea Emilio Rizzoli, Martin K Van IttersumAbstract:Farming Systems Research studies agricultural Systems and their interaction with the natural environment and ecoSystems. AgroecoSystems are highly complex due to the many feedbacks between natural processes, high geographical diversity and human factors involved both as the farmer’s decisions at farm household level and as the policy implementations at regional, national or European levels. This paper presents a novel approach for developing an Agricultural Management Definition Module (AMDM), by exploiting ontologies and semantic modeling. Specifically, a declarative approach has been utilized for conceptualizing Farming Systems and the management alternatives of a farm household. This conceptual model has been implemented as an ontology that ultimately has been used as the basis for software development and integration. This paper presents in detail the methodology used for developing AMDM and a real-world installation, part of the SEAMLESS integrated project.
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ITEE - Semantic Modeling in Farming Systems Research - The Case of the Agricultural Management Definition Module
Information Technologies in Environmental Engineering, 2007Co-Authors: Ioannis N Athanasiadis, Sander Janssen, David Huber, Andrea Emilio Rizzoli, Martin K Van IttersumAbstract:Farming Systems Research studies agricultural Systems and their interaction with the natural environment and ecoSystems. AgroecoSystems are highly complex due to the many feedbacks between natural processes, high geographical diversity and human factors involved both as the farmer’s decisions at farm household level and as the policy implementations at regional, national or European levels. This paper presents a novel approach for developing an Agricultural Management Definition Module (AMDM), by exploiting ontologies and semantic modeling. Specifically, a declarative approach has been utilized for conceptualizing Farming Systems and the management alternatives of a farm household. This conceptual model has been implemented as an ontology that ultimately has been used as the basis for software development and integration. This paper presents in detail the methodology used for developing AMDM and a real-world installation, part of the SEAMLESS integrated project.
J M Holland - One of the best experts on this subject based on the ideXlab platform.
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arable acronyms analysed a review of integrated arable Farming Systems Research in western europe
Annals of Applied Biology, 1994Co-Authors: J M Holland, Geoffrey K Frampton, Tamer Cilgi, S D WrattenAbstract:Summary Arable production has come under increasing economic and environmental pressures, especially in the last decade. These have derived from over-production, decreased farm incomes and a concern with the possible environmental effects of intensive pesticide use associated with such intensive cultivation. A number of long-term Research programmes on integrated Farming Systems and their sustainability have recently been completed or are currently under way. In the UK, these include the ‘Boxworth’ project, ‘SCARAB’, TALISMAN’, RISC, ‘LINK Integrated Farming Systems’, ‘LIFE’ and the demonstration-only programme ‘LEAF’. These projects are reviewed in terms of their objectives, designs and results to date, and are compared with some parallel programmes in Germany, the Netherlands, Switzerland and France.
