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ProjectManual / guideInstallation, Operation and Maintenance of the Orpheus Automatic Water Level Recorders in The Nile Basin and Processing of the Retrieved Data - Manual
Entebbe, January 2003
2011Also available in:
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Book (stand-alone)Technical studyAutomatic multi-label subject indexing in a multilingual environment 2003
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No results found.This paper presents an approach to automatically subject index fulltext documents with multiple labels based on binary support vector machines(SVM). The aim was to test the applicability of SVMs with a real world dataset. We have also explored the feasibility of incorporating multilingual background knowledge, as represented in thesauri or ontologies, into our text document representation for indexing purposes. The test set for our evaluations has been compiled from an extensive document base ma intained by the Food and Agriculture Organization (FAO) of the United Nations (UN). Empirical results show that SVMs are a good method for automatic multi- label classification of documents in multiple languages. -
ProjectManual / guideInstallation, Operation and Maintenance ofThalimedes Automatic Water Level Recorders in The Nile Basin and Processing of the Retrieved Data - Manual
Entebbe May 2002
2011Also available in:
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Poster, bannerPoster / banner / roll-up / folderBiodiversity of arbuscular mycorrhizae and chemical properties in soils of the Colombian coffee zone
Scientific poster Global Symposium on Soil Biodiversity
2021Also available in:
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Poster, bannerPoster / banner / roll-up / folderEarthworm biodiversity from Hyrcanian forests: natural vs. agricultural
Scientific poster Global Symposium on Soil Biodiversity
2021Also available in:
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Book (stand-alone)High-profileThe Impact of Disasters on Agriculture and Food Security 2023
Avoiding and reducing losses through investment in resilience
2023Disasters are resulting in unprecedented levels of destruction across the world. These shocks and disruptions affect the functioning and sustainability of agricultural production and threaten the livelihoods of millions of people reliant on agrifood systems.Reducing the impact of disasters in agriculture requires a better understanding of the extent to which these events produce negative impacts in agriculture and necessitates an investigation into the underlying risks that make agriculture vulnerable to the effects of disasters.The FAO flagship report on ‘The Impact of Disasters on Agriculture and Food Security’ provides a timely and comprehensive overview of how disasters are affecting agriculture and food security around the world.Building on previous work of the FAO on this topic, the report estimates losses caused by disasters on agricultural production over the past three decades and delves into the diverse threats and impacts affecting the crops, livestock, forestry, and fisheries and aquaculture subsectors. It analyzes the complex interplay of underlying risks, such as climate change, pandemics, epidemics and armed conflicts, and how they drive disaster risk in agriculture and agrifood systems at large.The report provides examples of actions and strategies for investing in resilience and proactively addressing risks in agriculture. It demonstrates ways to mainstream disaster risk into agricultural practices and policies and calls for a deeper understanding of the context in which these solutions are implemented.