The national assessment of the agricultural innovation system (AIS) in Malawi was conducted using a framework of four types of analyses: functional, structural, capacity and enabling environment analysis. The approach included five case studies that addressed three methods including the use of indigenous methods for fall armyworm (FAW) control in Farmer Field Schools (FFS), livestock transfer programs, and a horticulture marketing innovation platform in Mzimba, Ntchisi, Balaka, and Thyolo districts.
This report introduces the reader to the concept of agricultural innovation systems (AIS) and the TAP-AIS project being implemented by FAO in nine countries, including Lao People's Democratic Republic (Lao PDR). The results of the AIS assessment for Lao PDR are presented, highlighting key barriers and opportunities for agricultural innovation in the country.
To keep yield advances, farmers in Mato Grosso (MT) have been adopting several technological innovations. Therefore, agricultural production systems in MT have become complex and dynamic since farmers have to consider the increase of decision variables when planning and implementing their farming practices. These variables are widely spread across many distinct topics, bringing them together and summarizing information from diverse fields of research has become a difficult task in farmers’ decision-making process.
This paper analyses a monitoring, evaluation and learning (MEL) system developed within an agricultural research for development institution. The system applies aspects of the Outcome Harvesting tool and focuses on learning for adaptation and improvement of innovation processes. Developmental evaluation principles are applied to discuss its application. The MEL system provides insight into the processes and interactions with next users that generate outcomes.
Xanthomonas Wilt of Banana (BXW) is a complex problem in the African Great Lakes Region that is affecting the livelihoods of millions of smallholder farmers. Since the first disease reports from Uganda and the Democratic Republic of Congo in 2001, BXW has been studied widely. The majority of these studies focus on the technological or biophysical dimensions, while aspects and influence of socio-cultural, economic and institutional dimensions only recently started to gain attention.
The concept of technology adoption (along with its companions, diffusion and scaling) is commonly used to design development interventions, to frame impact evaluations and to inform decision-making about new investments in development-oriented agricultural research. However, adoption simplifies and mischaracterises what happens during processes of technological change. In all but the very simplest cases, it is likely to be inadequate to capture the complex reconfiguration of social and technical components of a technological practice or system.
Equipping agricultural extension and advisory services with nutrition knowledge, competencies and skills is essential to promote nutrition-sensitive agriculture. This report presents the results of an assessment of capacity within agricultural extension and advisory services, undertaken in Telangana State, India, with the global capacity needs assessment (GCNA) methodology developed by FAO and GFRAS. The methodology is available online at https://doi.org/10.4060/cb2069en
In theory, under the federal structure agricultural extension services can serve communities better as it aims to be client responsive and accountable to its consumers at the village level. However, poor understanding of federalism that has only recently emerged from the persisting centralized and feudal conceptions, limited practices of democratic norms and values primarily due to the lack of understanding of local governance, and limited commitment of political actors and policy makers to federalism, may derail the good intentions behind federalism.
In early 2020, GFRAS provided support to the Agricultural Extension in South Asia (AESA) Network and the Bangladesh Agricultural Extension Network (BAEN) in order to customize one of the NELK Modules in the context of Bangladesh. The BAEN Executive Committee selected the GFRAS NELK Module 7 on ‘Facilitation for Development’ for customization. AESA and BAEN jointly implemented the development of the customized module for Bangladesh. The process of customization consisted of five phases spread over a span of six months.
The Agricultural Innovation Program (AIP), funded by the United States Agency for International Development (USAID) in Pakistan, aims to increase agricultural productivity and the income of farmers in four sectors (cereals, livestock, vegetables, and horticulture) by increasing the use of modern technology and management practices, improving the performance of value chains, and increasing the capacity of the public and private sectors to support the agricultural production system.