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Mize Community Conservancy - A brighter future for people and wildlife











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    Poster, banner
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    Mize Community Conservancy - A brighter future for people and wildlife 2024
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    This poster will be used as a village sign to welcome people to the MIZE Community Conservancy in the SWM Programme Zambia site.
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    Sustainable Wildlife Management (SWM) Programme - A brighter future for people and wildlife
    The Mucheni Community Conservancy profile
    2021
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    The Kavango Zambezi (KAZA) Transfrontier Conservation area is home to a great diversity of ecosystems and landscapes. Each year, the area experiences large-scale migrations of megafauna. Whilst rural communities in the Mucheni (Zimbabwe) and Simalaha (Zambia) Community Conservancies have distinct cultures and local governments, they depend on hunting and fishing for both food and income. Community conservancies are legally-recognised, geographically-defined areas that have been formed by communities that have united to manage and benefit from wildlife and other natural ressources. However, communities’ livelihoods are threatened by erratic rainfall, poor soils, and human–wildlife conflicts. The SWM Project in KaZa is promoting a sustainable use of natural resources, including wildlife and fisheries, by the Community conservancies. It is also developing alternative sources of proteins, such as livestock husbandry and aquaculture. The project is being implemented by CIRAD in coordination with the governments of both Zambia and Zimbabwe. The Sustainable Wildlife Management (SWM) Programme is a seven-year (2018–2024) international initiative to improve the conservation and sustainable use of wildlife in forest, savannah and wetland ecosystems. The SWM Programme is an Organisation of African, Caribbean and Pacific States (OACPS) initiative, which is funded by the European Union, with co-funding from the French Facility for Global Environment (FFEM) and the French Development Agency (AFD). The SWM Programme is being implemented by a dynamic consortium of four partners with expertise in wildlife conservation and food security. These are the Food and Agriculture Organization of the United Nations (FAO), the French Agricultural Research Centre for International Development (CIRAD), the Center for International Forestry Research (CIFOR) and the Wildlife Conservation Society (WCS). For more information, please visit the SWM Programme website www.swm-programme.info
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    Spatial planning to ensure future coexistence between wildlife and people 2023
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    This case study highlights Ecoexist Trust's efforts in Botswana's Okavango Panhandle to foster coexistence between people and elephants. The region faces conflicts due to shared space between 35,000 people and 20,000 elephants. Ecoexist employs a holistic approach, conducting research to identify critical elephant pathways and overlap with human activities. They collaborated with land authorities to develop the Land Use Conflict Information Strategy (LUCIS), strategically mapping agricultural areas away from frequent elephant movement paths. LUCIS helps allocate land effectively, preventing conflicts and supporting farmers in protecting fields. Trust-building and ongoing research were crucial to success. Ecoexist engaged stakeholders to incorporate preferences in land allocation. Positive outcomes include identifying suitable agricultural areas and scaling up the approach to other regions. Challenges include government staff turnover and adaptability to different contexts. Overall, Ecoexist's spatial planning approach promotes coexistence, reduces conflicts, and supports communities in the Okavango Panhandle.

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    Digital agriculture in action
    ArtificiaI intelligence for agriculture
    2021
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    This publication on artificial intelligence (AI) for agriculture is the fifth in the E-agriculture in Action series, launched in 2016 and jointly produced by FAO and ITU. It aims to raise awareness about existing AI applications in agriculture and to inspire stakeholders to develop and replicate the new ones. Improvement of capacity and tools for capturing and processing data and substantial advances in the field of machine learning open new horizons for data-driven solutions that can support decision-making, facilitate supervision and monitoring, improve the timeliness and effectiveness of safety measures (e.g. use of pesticides), and support automation of many resource-consuming tasks in agriculture. This publication presents the reader with a collection of informative applications highlighting various ways AI is used in agriculture and offering valuable insights on the implementation process, success factors, and lessons learnt.
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    Processing of fresh-cut tropical fruits and vegetables: A technical guide 2010
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    There has been a marked upward trend in production and consumption of fruits and vegetables in Asia and the Pacific in recent years. Along with rising consumer demand has come greater awareness of food safety issues and increased need for convenience and quality. Selection of high quality horticultural produce for processing and implementation of good practices during processing operations are required to assure both the quality of the produce and the safety of the final product. This technical guide reviews, from a theoretical and practical perspective, the critical issues that must be addressed for fresh-cut produce to meet consumer demand for convenience, quality and safety. A case study on fresh-cut processing in Thailand is included. The guide should be of practical value to small processors, trainers and extension workers who provide support to individuals engaged in production of fresh-cut tropical produce for sale.