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Brochure, flyer, fact-sheetBrochureZimbabwe: DIEM – Data in Emergencies Monitoring brief, round 5
Results and recommendations, October 2022
2022Also available in:
No results found.This Data in Emergencies Monitoring (DIEM-Monitoring) brief shares the results of a fifth-round assessment conducted in September 2022 in Zimbabwe. It presents key findings and recommendations for humanitarian actors to utilize in planning and implementing data-driven programming to sustain farmers’ livelihoods and build their resilience to future shocks – protecting the food security of rural people in Zimbabwe. The Food and Agriculture Organization of the United Nations (FAO) established the DIEM-Monitoring System to collect, analyse and disseminate data on shocks and livelihoods in countries prone to multiple shocks. DIEM-Monitoring aims to inform decision-making by providing regularly updated information on how different shocks are affecting the livelihoods and food security of agricultural populations. Information is collected from primary sources in the production process: producers, traders or marketers, input suppliers, extension officers and other key informants. -
Brochure, flyer, fact-sheetBrochureZimbabwe: DIEM – Data in Emergencies Monitoring brief, round 9
Results and recommendations, February 2024
2024Also available in:
No results found.This Data in Emergencies Monitoring (DIEM-Monitoring) brief shares the results of a ninth-round assessment conducted in November and December 2023 in Zimbabwe. It presents key findings and recommendations for humanitarian actors to utilize in planning and implementing data-driven programming to sustain farmers’ livelihoods and build their resilience to future shocks – protecting the food security of rural people in Zimbabwe. The Food and Agriculture Organization of the United Nations (FAO) established the DIEM-Monitoring System to collect, analyse and disseminate data on shocks and livelihoods in countries prone to multiple shocks. DIEM-Monitoring aims to inform decision-making by providing regularly updated information on how different shocks are affecting the livelihoods and food security of agricultural populations. Information is collected from primary sources in the production process: producers, traders or marketers, input suppliers, extension officers and other key informants. -
Brochure, flyer, fact-sheetBrochureZimbabwe: DIEM – Data in Emergencies Monitoring brief, round 8
Results and recommendations, September 2023
2023Also available in:
No results found.This Data in Emergencies Monitoring (DIEM-Monitoring) brief shares the results of a eighth-round assessment conducted in July 2023 in Zimbabwe. It presents key findings and recommendations for humanitarian actors to utilize in planning and implementing data-driven programming to sustain farmers’ livelihoods and build their resilience to future shocks – protecting the food security of rural people in Zimbabwe. The Food and Agriculture Organization of the United Nations (FAO) established the DIEM-Monitoring System to collect, analyse and disseminate data on shocks and livelihoods in countries prone to multiple shocks. DIEM-Monitoring aims to inform decision-making by providing regularly updated information on how different shocks are affecting the livelihoods and food security of agricultural populations. Information is collected from primary sources in the production process: producers, traders or marketers, input suppliers, extension officers and other key informants.
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Book (stand-alone)Manual / guideProcessing of fresh-cut tropical fruits and vegetables: A technical guide 2010
Also available in:
No results found.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. -
Book (stand-alone)Technical bookGlobal Forest Resources Assessment 2020
Main report
2020FAO completed its first assessment of the world’s forest resources in 1948. At that time, its major objective was to collect information on available timber supply to satisfy post-war reconstruction demand. Since then, the Global Forest Resources Assessment (FRA) has evolved into a comprehensive evaluation of forest resources and their condition, management and uses, covering all the thematic elements of sustainable forest management. This, the latest of these assessments, examines the status of, and trends in, forest resources over the period 1990–2020, drawing on the efforts of hundreds of experts worldwide. The production of FRA 2020 also involved collaboration among many partner organizations, thereby reducing the reporting burden on countries, increasing synergies among reporting processes, and improving data consistency. The results of FRA 2020 are available in several formats, including this report and an online database containing the original inputs of countries and territories as well as desk studies and regional and global analyses prepared by FAO. I invite you to use these materials to support our common journey towards a more sustainable future with forests. -
Book (stand-alone)Technical bookDigital agriculture in action
ArtificiaI intelligence for agriculture
2021Also available in:
No results found.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.