The International Fund for Agricultural Development (IFAD) financed the second Cordillera Highland Agricultural Resource Management Project (CHARMP2), in areas where poverty is most severe among indigenous peoples in the highlands of the Cordillera Region in northern Philippines. The aim is to reduce poverty and improve the livelihoods of indigenous peoples living in farming communities in the mountainous project area. The indigenous peoples consist of many tribes whose main economic activity is agriculture.
Local banks, NGOs and public institutions worked closely to ensure that women could access loans, join associations and have their voices be heard in collective decision-making processes. It also allowed these women and their communities to make collective investments that would increase their production, stabilize and diversify their nutrition, and ultimately achieve a better life.
This event launches a new phase of the JP RWEE that will even further enhance its holistic approach to advancing rural women’s economic empowerment by integrating a climate resilience lens to tackle deep rooted social norms which limit women’s participation and leadership in rural communities including through applying gender transformative approaches.
This paper discusses how adapting food production systems to respond to consumer demand for healthier diets is a major opportunity to mitigate and adapt to climate change in agro-rural economies. It also addresses how existing technological solutions for climate change mitigation and adaptation need to create more balance between the production and consumption tiers of agrifood systems. Policy dialogue includes managing trade-offs between different sector and stakeholder interests and exploring synergies rather than focusing on exclusivity and competition.
El propósito de esta guía es contribuir al desarrollo de las capacidades funcionales entre individuos y organizaciones que apoyan la innovación en América Latina. En la guía se ha utilizado el marco común para el desarrollo de capacidades promovido por la Plataforma de Agricultura Tropical (TAP, por sus siglas en inglés), con el fin de identificar y reforzar las capacidades funcionales clave en organizaciones e individuos.
Familiar mixed dairy sheep farm is the most widespread system in the Mediterranean basin, in Latin America and in developing countries (85%). There is a strong lack of technological adoption in packages of feeding and land use in small-scale farms. To increase competitiveness, it would be of great interest to deepen the knowledge of how innovation was selected, adopted, and spread. The objective of this research was to select strategic feeding and land use technologies in familiar mixed dairy sheep systems and later assess dairy sheep farms in Spain.
Africa–Europe Cooperation and Digital Transformation explores the opportunities and challenges for cooperation between Africa and Europe in the digital sphere.
The potential beneficial and harmful social impacts generated by the introduction of novel technologies, in general, and those concerning nutrient recovery and the improvement of nutrient efficiency in agriculture, in particular, have received little attention, as shown in the literature. This study investigated the current social impacts of agricultural practices in Belgium, Germany and Spain, and the potential social impacts of novel technologies introduced in agriculture to reduce nutrient losses.
The digital transformation in agriculture introduces new challenges in terms of data, knowledge and technology adoption due to critical interoperability issues, and also challenges regarding the identification of the most suitable data sources to be exploited and the information models that must be used.
The determination of bunch features that are relevant for bunch weight estimation is an important step in automatic vineyard yield estimation using image analysis. The conversion of 2D image features into mass can be highly dependent on grapevine cultivar, as the bunch morphology varies greatly. This paper aims to explore the relationships between bunch weight and bunch features obtained from image analysis considering a multicultivar approach.