Selon les évaluations de la FAO, à l’échelle de la planète, 45 pays, dont 34 en Afrique et 9 en Asie, ont besoin d’une aide alimentaire extérieure. Les conflits et les chocs météorologiques demeurent des facteurs critiques qui contribuent aux taux actuellement élevés d’insécurité alimentaire grave. Les effets de la pandémie de covid-19 ont exacerbé les vulnérabilités et accru les besoins humanitaires.
The study utilized WFP’s Consolidated Livelihood Exercise for Analyzing Resilience (CLEAR) approach which contains a baseline of major livelihood zones all over the country. CLEAR has provided the backbone to build the Philippines’ first livelihood zone maps which aim to provide information for the diversification of economic activities, aimed to ensure that its food systems are secure, peace and hunger are addressed, and the country is on a continuous path to sustainable development.
Plants are susceptive to various diseases in their growing phases. Early detection of diseases in plants is one of themost challenging problems in agriculture. If the diseases are not identified in the early stages, then they may ad-versely affect the total yield, resulting in a decrease in the farmers' profits. To overcome this problem, many re-searchers have presented different state-of-the-art systems based on Deep Learning and Machine Learningapproaches. However, most of these systems either use millions of training parameters or have low classificationaccuracies.
The “ONE WORLD – No Hunger” Initiative (SEWOH) by the German Federal Ministry for Economic Cooperation and Development (BMZ) is part of the G7 goal to free 500 million people from hunger and malnourishment by 2030. SEWOH intends to contribute significantly to reducing poverty and hunger in developing countries in general and Cameroon in particular. The Cameroonian project is part of the framework of the global project – “Green Innovation Centres for the Agriculture and Food Sector” (ProCISA).
The Progress towards Sustainable Agriculture initiative (PROSA) is a framework that seeks to complement ongoing efforts on the Sustainable Development Goals (SDGs), and particularly indicator 2.4.1, to support country-level assessments using data already available at the national level. Making agriculture more sustainable – productive, environmentally friendly, resilient and profitable is fundamental, as agriculture remains the main source of livelihood for the majority of the world’s poor and hungry.
A bilateral project between the Swiss Agency for Cooperation and Development (SDC) and the Nepalese government, which ran from 2016 to 2020 and covered 61 municipalities in provinces 1, 3 (Bagmati) and 6 (Karnali), with technical support from the Swiss NGO Helvetas, aimed to promote a multi-stakeholder approach to agricultural services in Nepal.
This document presents a proposed methodology for public expenditure review and analysis for climate change adaptation and mitigation in the agriculture sector (PERCC) and its application to a case study of Kenya. It starts by explaining the basic methodological concepts, classification and labelling of public expenditures that allow for calculating spending in agriculture related to climate change adaptation and mitigation.
Sustainable Public Food Procurement (PFP) represents a key game changer for food systems transformation. It can influence both food consumption and food production patterns. It can deliver multiple social, economic and environmental benefits towards sustainable food systems for healthy diets.
This publication aims to contribute to the improved understanding, dissemination and use of PFP as a development tool in particular in the case of school meals programmes.
The future of inclusive forestry in Nepal depends on forestry professionals who can recognise patriarchal roots of gender injustice as they operate in the ideologies and apparatus of forest governance, and who can resist those injustices through their work. This paper uses the notion of knowledge practices to explore the recognition of injustice amongst Nepal’s community forestry professionals, and the relationship between recognition and resistance, highlighting the inherently political nature of all knowledge practices.
Individuals from a diverse range of backgrounds are increasingly engaging in research and development in the field of artificial intelligence (AI). The main activities, although still nascent, are coalescing around three core activities: innovation, policy, and capacity building. Within agriculture, which is the focus of this paper, AI is working with converging technologies, particularly data optimization, to add value along the entire agricultural value chain, including procurement, farm automation, and market access.