1,999,481 research outputs found
Controlled Traffic Farming
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
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
Participatory method in social science studies of farming systems: organic farming systems and social change - a social research metholology
Team 8: Data Farming in Support of NATO
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
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
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
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
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
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
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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