1,999,481 research outputs found

    Controlled Traffic Farming

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    Metadata only recordControlled Traffic Farming (CTF) is a farming method used to reduce soil compaction, decrease inputs, and improve soil structure when coupled with reduced-till or no-till practices. This practices utilizes permanent traffic/wheel zones to limit soil compaction to a specific area. This website provides practical information on CTF, case studies, workshops, and links to additional resources

    Foundations for Farming Website

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    Metadata only recordThis website provides information on the activities and outcomes of Foundations for Farming, an international NGO dedicated to promoting Conservation Agriculture as a means of poverty reduction and food security. The organization currently works in Zimbabwe, South Africa, and Malawi, hosting training sessions and facilitating the dissemination of Conservation Agriculture ideologies and practices

    Team 8: Data Farming in Support of NATO

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    from Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 7 Workshop 19The NATO Modeling and Simulation Group has approved an exploratory team to examine the veracity of forming a task group to examine data farming in support of NATO. This exploratory team, called ET-029, continued its activity at IDFW 19, convening focus groups to further this examination

    Team 6: Integrating Social Network Analysis to Data Farming

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    from Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 9 Workshop 21After 2 years of intensive development, the new ABSEM version 0.4 was released and presented at IDFW20 to the International Data Farming Community. The model concentrates on modeling complex technical aspects in NCO and to do so, it integrates detailed physical theories when it comes to simulating the output of various sensors and when determining the effect of different weapon systems

    Team 5: Data Farming with SANDIS Software Applied to Mortar Vehicle Support for Convoys

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    from Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 9 Workshop 21Data farming is a powerful tool for analyzing complex problems numerically. Our goal is to apply data farming methodology using the SANDIS combat model (see Lappi, 2008) to effectively study alternative scenarios. In order to do that, we introduce a rather simple scenario where a convoy supported by mortar vehicles comes under attack. The data farming is realized by collecting data from batch runs in which simulations are done with different initial parameters of a given battle situation. The results of the differently parameterized cases are the losses caused during the scenario

    Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 5 Workshop 17

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    We had the pleasure of visiting beautiful Garmisch-Partenkirchen, Germany for International Data Farming Workshop 17! It was held from September 21st through the 26th, 2008.The International Data Farming Community is a consortium of researchers interested in the study of Data Farming, its methodologies, applications, tools, and evolution. The primary venue for the Community is the biannual International Data Farming Workshops, where researchers participate in team-oriented model development, experimental design, and analysis using high performance computing resources... that is, Data Farming

    Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 6 Workshop 18

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    The Naval Postgraduate School was excited to host International Data Farming Workshop 18! It was held from March 22nd through the 27th, 2009.The International Data Farming Community is a consortium of researchers interested in the study of Data Farming, its methodologies, applications, tools, and evolution. The primary venue for the Community is the biannual International Data Farming Workshops, where researchers participate in team-oriented model development, experimental design, and analysis using high performance computing resources... that is, Data Farming

    Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 15 Workshop 27

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    Proceedings and Bulletin of the International Data Farming Community, Issue 15, Workshop 27 Publication date: May 201

    Quality labels as drivers of periurban livestock farming resilience

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    The purpose of this study is to analyse the contribution of local food certifications in maintaining and developing the farming system in periurban areas. The case study is the periurban area of Pisa, a medium-sized Italian city, representative of urban sprawl and Mediterranean farming systems. The methodology combines quantitative and qualitative analysis. 12-years statistical data on the evolution of the livestock system were compared with interviews to the local food chain’s actor, to assess the evolution of “Carne Bovina di Pisa”, a private label promoted by the local livestock producers’ association. While statistical data have revealed a constant decreasing of livestock producers in the area, results from interviews have shown that this project has allowed to maintain livestock in the periurban farms, where farmers especially engaged in short food supply chains. Nevertheless, despite the initial enthusiasm of both farmers and consumers toward the product, several factors have hampered the evolution of such project and so the evolution of the farming system. These factors are especially connected to the distribution and marketing of supermarkets. By the one side supermarkets can mobilise bigger quantities of product, and allow a greater visibility of the project, by the other side they have difficulties in the adaptation to traditional and artisanal product processing. The constant capacity of intermediary actors to mediate between different actors, may support the resilience of such projects. For this reason, actions of coordination are needed to guarantee the sustainability of the certified food chains
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