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Book (series)Technical studyThe impact of climate variability and extremes on agriculture and food security - An analysis of the evidence and case studies
Background paper for The State of Food Security and Nutrition in the World 2018
2020Also available in:
No results found.Global climate studies show that not only temperatures are increasing and precipitation levels are becoming more varied, all projections indicate these trends will continue. It is therefore imperative that we understand changes in climate over agricultural areas and their impacts on agriculture production and food security. This study presents new analysis on the impact of changing climate on agriculture and food security, by examining the evidence on recent climate variability and extremes over agricultural areas and the impact of these on agriculture and food security. It shows that more countries are exposed to increasing climate variability and extremes and the frequency (the number of years exposed in a five-year period) and intensity (the number of types of climate extremes in a five-year period) of exposure over agricultural areas have increased. The findings of this study are compelling and bring urgency to the fact that climate variability and extremes are proliferating and intensifying and are contributing to a rise in global hunger. The world’s 2.5 billion small-scale farmers, herders, fishers, and forest-dependent people, who derive their food and income from renewable natural resources, are most at risk and affected. Actions to strengthen the resilience of livelihoods and food systems to climate variability and extremes urgently need to be scaled up and accelerated. -
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. -
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.