Controlled Environment Agriculture (CEA) is the production of plants, fish, insects, or animals inside structures such as greenhouses, vertical farms, and growth chambers, in which environmental parameters such as humidity, light, temperature and CO2 can be controlled to create optimal growing conditions.
Brazil has transformed from being a net food importer, to one of the largest agricultural exporters in the world. The country is now one of the top global funders of agricultural innovation, with a special emphasis on funding R&D for sustainable agriculture. While food insecurity and environmental challenges exist in many parts of Brazil, social programs and funding in innovation have helped those in need.
The CGIAR is the leading global agriculture research institution working towards creating sustainable agricultural practices a reality through research and innovation. The CGIAR 2030
To meet the growing demand for food in the Global South in a sustainable manner, current funding in agricultural innovation will need to be increased exponentially. Some estimates suggest up to USD 320 billion annually is required to help meet the UN SDG Goals for food and agriculture by 2030. Current levels of funding for agriculture and agricultural innovation fall far short of this and hence efforts to induce more funding for these goals, including through the use of new financing instruments1, is critical going forward.
The only specialized multilateral development institution focused exclusively on rural development, IFAD has successfully used agriculture as a means of poverty reduction – contributing ~USD 22 billion in funding to date1. About 90% of IFAD's portfolio is focused on Low to Middle Income (LMI) countries. IFAD stands out with its nutrition and gender-sensitive lenses coupled with investments in climate-resilient agriculture – mainstreaming nutrition, gender, and climate change work in agriculture.
Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated
Digitalisation is widely regarded as having the potential to provide productivity and sustainability gains for the agricultural sector. However, there are likely to be broader implications arising from the digitalisation of agricultural innovation systems. Agricultural knowledge and advice networks are important components of agricultural innovation systems that have the potential to be digitally disrupted.
Being the ultimate beneficiary of ecosystem services provided by on-farm agricultural biodiversity, the participation of farmers in its sustainable utilization and conservation is crucial. How much aware they are with the significance and conservation of agricultural biodiversity in order to improve their crop yield remains unclear, especially from the developing courtiers. Pollination is one of such ecosystem services, enormously contributed by the wild bees.
Food literacy among children and youth is configured by two knowledge domains: an informal community-based knowledge, and a formal curriculum-based knowledge. This paper examines how these two domains contribute to food literacy and strengthen food security among rural youth in Nepal. In consultation with schoolteachers and local farmers, a knowledge test was developed and administered to 226 high school students. Scores were collected on agro-ecological, cultivation and consumption-related knowledge on a locally grown staple crop, as contributor to food literacy
The main objective of this study was to investigate and analyse the farmers’ perceptions on criteria and indicators for sustainable management of indigenous agroforestry systems in Uttarakhand state of India. The present study was conducted to document the traditional knowledge and considered five broad categories including agriculture management, livestock management, forest sustainability, social benefits, and policy inputs along with 16 criteria and 34 indicators were identified.