In order to determine the factors affecting the adoption of agricultural innovations, 169 farmers were reviewed in 7 counties that may represent Erzurum province in terms of social, economic and cultural aspects. The data were analyzed in LIMDEP software using logistic regression method and the results were presented in tables. The innovations examined in the study were adoption of artificial insemination, membership to cooperative, having automatic waterer in stables and making use of incentives for agricultural production.
Most of the existing literature focus on the cultivation of crops and vegetables, and lack relevant research of the Chinese dairy industry. Meanwhile there lacks micro data on adoption of raw milk safety measures by Chinese smallholder dairy farmers in the macro context of changing dairy industry. To fill this gap, a field survey was conducted in Inner Mongolia, which has the largest raw milk production base, dairy enterprises and diversified production types.
The primary aim of this research was to examine the factors influencing behavioral intention of farmers to use ICTs for agricultural risk management. The past research reveals that many researchers had tried to determine factors affecting behavioural intentions of the respondents and TPB has been applied as technology acceptance model in various contexts. However, predicting behavioral intentions to use ICTs for agricultural risk management has not been evaluated from the actual field. Therefore, the data were collected from 360 farmers through multistage cluster sampling technique.
This brochure presents FAO ’s work on agricultural innovation. FAO advocates a shift from interventions focusing on single components of agricultural innovation towards a system-approach aimed at strengthening institutions and stakeholders’ networks that better respond to the needs of smallholder farmers.
Natural resource management practices, such as the System of Rice Intensification (SRI), have been proposed to tackle agricultural challenges such as decreasing productivity growth and environmental degradation. Yet, the benefits of system technologies for farmers are often debated. Impacts seem to be context-specific, which is especially relevant in the small farm sector with its large degree of agroecological and socioeconomic heterogeneity. This was not always considered in previous research.
Recent research has analyzed whether higher levels of farm production diversity contribute to improved diets in smallholder farm households. We add to this literature by using and comparing different indicators, thus helping to better understand some of the underlying linkages. The analysis builds on data from Indonesia, Kenya, and Uganda. On the consumption side, we used 7-day food recall data to calculate various dietary indicators, such as dietary diversity scores, consumed quantities of fruits and vegetables, calories and micronutrients, and measures of nutritional adequacy.
Earlier high-value Tilapia, Koi and Pangus fry are mostly bought by lead farmers only while small farmers use low-yielding local species. A breakthrough was reached during Phase 2 of the Katalyst project, when hatcheries started marketing high-yielding fish fingerlings to small farmers. The promotion included pond management and cultivation improvements that further increased farmers’ productivity.
Farmer group institutions have been being a target group for various innovations in the agricultural development program. Unfortunately, the aspect of their institutional system is getting ignored frequently. This study aimed to know the farmer group institution performance’s determinant factors and its effect on the agricultural innovation implementation sustainability. This was a longitudinal study using a qualitative approach involving ten farmer group institutions (mixed crop-livestock farming) done in Lombok island.
Farmer innovation diffusion (FID) in the developing world is not simply the adoption of an innovation made by farmers, but a process of communication and cooperation between farmers, governments, and other stakeholders. While increasing attention has been paid to farmer innovation, little is known about how farmers’ innovations are successfully diffused. To fill this gap, this paper aims to address the following questions: What conditions are necessary for farmers to participate in FID? How is a collaborative network built up between farmers and stakeholders for this purpose?
KIT and the Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA) published this joint publication in which farmers were put in the driver’s seat. Within the programme ‘farmer empowerment for innovation in smallholder agriculture’ (FEISA) farmers were provided tools and skills to enhance collaboration with private enterprises, as well as service providers, in multi stakeholder ‘innovation triangles’ within value chains for the benefit of smallholder farmers.