El Proyecto "Desarrollo de capacidades para los sistemas de innovación agrícola: ampliación del marco común de la Plataforma de Agricultura Tropical" (en resumen, Proyecto TAP-AIS) es implementado por la Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO) en países de África (Burkina Faso, Malawi, Eritrea, Ruanda, Senegal), América Latina (Colombia), Asia y el Pacífico (Camboya, Lao PDR, Pakistán), con el objetivo estratégico de contribuir al fortalecimiento de capacidades para fomentar, reconocer y fortalecer la innovación rural en el contexto de la transformaci
The spatial and temporal variability of soil properties (fluid composition, structure, and water content) and hydrogeological properties employed for sustainable precision agriculture can be obtained from geoelectrical resistivity methods. For sustainable precision agricultural practices, site-specific information is paramount, especially during the planting season.
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.
Accurate and timely crop mapping is crucial for environment assessment, food security and agricultural production. However, for the areas with high landscape heterogeneity and frequent cloudy and rainy weather, the insufficient high-quality satellite images limit the accuracy of crop classification. The recently launched Chinese GF-6 wide field-of-view camera (WFV) with a revisit cycle of 4-day and spatial resolution of 16-meter shows great potential for agricultural monitoring.
El presente documento sistematiza los principales hallazgos de la Mesa de Articulación Interinstitucional para el fortalecimiento del sistema territorial de innovación del sector lechero en Boyacá (Colombia), llevada a cabo en la ciudad de Tunja el 12 de mayo de 2022. Este espacio de construcción colectiva que contó con la participación de 50 delegados de la institucionalidad pública, organizaciones de productores, academia y empresas privadas, tuvo como objetivo conocer la oferta de las instituciones del departamento y su agenda 2022 en materia de innovación.
Global Open Data for Agriculture and Nutrition (GODAN) and The Haller Foundation joined forces in 2016 when the UK based charity released version one of the Haller Farmers App.
Digitalization and internet use are transforming every aspect of our lives. Digital technologies are profoundly changing how we grow food, pack it, transport it and even shop for food. Digitalization and use of digital data, applications, and platforms are opening new possibilities for developing and restructuring the agrifood system. Digital agriculture is turning to digitalizing agrifood, rural economy, and rural societies. This report introduces the FAO Digital Village Initiative, which aims to facilitate through knowledge and information.
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.
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.