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Assessment and collection of data on post - harvested foodgrain losses












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    Book (series)
    Assessment and collection of data on pre-harvest food grain losses due to pests and diseases 1983
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    The manual is intended to serve as a guide to the statistical methodology for assessing and collecting data on pre-harvest foodgrain losses due to pests and diseases. It should be useful to those developing countries which plan to launch foodgrain losses reduction programmes but find themselves seriously handicapped because of lack of basic data. The manual will go a long way in assisting those who will be charged with the responsibility of planning and implementing surveys for estimating pre-harvest foodgrain losses due to pests and diseases.
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    Book (stand-alone)
    Guidelines on the measurement of harvest and post-harvest losses
    Estimation of crop harvest and post-harvest losses in Malawi. Maize, rice and groundnuts. Field test report
    2020
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    A study was conducted in two Agriculture Development District (ADDs) of Malawi, Salima and Lilongwe, to pilot a new methodology for estimating on-farm harvest and post-harvest losses. The study was carried-out with technical support from the Global strategy to improve agricultural and rural statistics (GSARS) of the Food and Agricultural Organization of the United Nations (FAO). This pilot exercise principally aimed at strengthening the capacity of Malawi in generating reliable estimates on post-harvest losses. The data collection was carried out using a household questionnaire which was specifically developed for this exercise. The analysis of the results showed that a significant amount of farm produce is lost during harvesting, followed by threshing. The study also highlighted that on-time harvesting and use of chemicals are considered by farmers as the most effective strategies for preventing on-farm losses, even though farmers are not always in a position to implement these strategies. The authors recommend that a solid baseline on harvest and post-harvest losses be established by replicating on a larger scale this pilot survey for three consecutive years, to account for weather variation and other exogenous factors which may affect losses. The survey would benefit from the integration with existing country-wide data collection systems such as the Agricultural production estimates survey (APES) to ensure low operational costs and sustainability. It is also recommended that Computer assisted personal interviewing (CAPI) should be introduced for future exercises to improve on data quality and timeliness.
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    Brochure, flyer, fact-sheet
    Food loss analyses to identify critical loss points, main causes of losses and to recommend solutions to reduce post-harvest losses
    Grain supply chains in Burkina Faso, the Democratic Republic of the Congo and the Republic of Uganda - Technical brief
    2021
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    The UN Rome-based agencies joint project aimed to improve smallholder food security and incomes in food deficit areas by reducing food losses. The Project contributes to the African Union Malabo Declaration (AUC, 2014) in which Member States committed to halve the levels of post-harvest losses by 2025. It also contributes to the achievement of the Sustainable Development Goal (SDG) 12 on ensuring sustainable consumption and production patterns, specifically to target 12.3 that aims to halve food waste and reduce post-harvest losses by 2030. This technical brief presents the FAO methodology used to carry out studies on food loss analyses and the major findings and recommendations formulated to reduce post-harvest losses in the selected food supply chains in Burkina Faso (maize, sorghum, and cowpea), the Democratic Republic of the Congo (maize and rice) and the Republic of Uganda (maize, beans and sunflower), in the framework of the United Nations Rome-based Agencies’ joint project.

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