The paper studies the entrepreneurial behavior of large cardamom growers in Lamjung District, Nepal and was conducted from December 2017 to June 2018 in Marshyangdi Rural Municipality of Lamjung district. The Rural Municipality was selected purposely for the study due to the recent establishment of Cardamom Zone under the Prime Minister Agriculture Modernization Project in the Municipality focusing on large cardamom development. Altogether 80 large cardamom growers were selected randomly from 454 large cardamom growers of the study site.
This publication contains twelve modules which cover a selection of major reform measures in agricultural extension being promulgated and implemented internationally, such as linking farmers to markets, making advisory services more demand-driven, promoting pluralistic advisory systems, and enhancing the role of advisory services within agricultural innovation systems.
Adoptions of improved technologies and production practices are important drivers of agricultural development in low-income countries like Nepal. Adopting a broad class of such technologies and practices is often critical for meeting the multifaceted goals of efficiency, profitability, environmental sustainability, and climate resilience.
Ensemble, La FAO et la france travaillent pour améliorer la gouvernance alimentaire mondiale, promouvoir la gestion durable des ressources naturelles, renforcer les moyens de subsistance des communautés vulnérables, et favoriser le développement rural durable. Les récentes initiatives FAO + France ont contribué à :
The European small ruminants (i.e. sheep and goats) farming sector (ESRS) provides economic, social and environmental benefits to society, but is also one of the most vulnerable livestock sectors in Europe. This sector has diverse livestock species, breeds, production systems and products, which makes difficult to have a clear vision of its challenges through using conventional analyses. A multi-stakeholder and multi-step approach, including 90 surveys, was used to identify and assess the main challenges for the sustainability of the ESRS to prioritize actions.
Agricultural mechanization in developing countries has taken at least two contested innovation pathways—the “incumbent trajectory” that promotes industrial agriculture, and an “alternative pathway” that supports small-scale mechanization for sustainable development of hillside farming systems.
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
In the context of an exponential rise in access to information in the last two decades, this special issue explores when and how information might be harnessed to improve governance and public service delivery in rural areas. Information is a critical component of government and citizens’ decision-making; therefore, improvements in its availability and reliability stand to benefit many dimensions of governance, including service delivery.
The research programme URBAL (Urban-driven Innovations for Sustainable Food Systems) (2018–2020), funded by Agropolis Fondation (France), Fondation Daniel & Nina Carasso (France/Spain), and Fundazione Cariplo (Italy), and coordinated by CIRAD (France) and the Laurier Center for Sustainable Food Systems at Wilfrid Laurier University (Canada), seeks to build and test a participatory methodology to identify and map the impact pathways of urban-driven innovations on all the dimensions of food systems sustainability.
Mobiliser les approches issues de l’Intelligence Artificielle (IA) en Santé Animale (SA) permet d’aborder des problèmes de forte complexité logique ou algorithmique tels que rencontrés en épidémiologie quantitative et prédictive, en médecine de précision, ou dans l’étude des relations hôtes × pathogènes.