Extension agent is one of the important factors in the agricultural process to deliver technology information and agricultural programs from government to farmers. The good performance of agricultural extension agents will have an impact on improving the performance of farmers to increase agricultural production.In Langkat Regency, the extension agent performance was not still optimal. Factors affecting the performance of the extension agent consist of internal and external factors.
This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively. The results showed that the dynamics of the Sri Makmur Farmers Group were categorized as Less Dynamic. This is because the elements of the farmer group dynamics are not going well. Based on the results of a Likert Scale Research with Spearman Rank Correlation obtained a value of 0.221 at a confidence level of 95% (α 0.05).
An extension help farmers in their efforts to increase production and quality of their products in order to improve their welfare. Therefore, the extension has many roles, among others as a mentor farmer extension, organizer, coach technicians and a bridge between family farmers and research institutions in agriculture because of the existence of agricultural extension field is important for farmers. Extension activities in the desa Tanjung Gunung one of which was given to cocoa farmers.
Este artículo hace un análisis del perfil de la avicultura a pequeña escala realizada en el Estado de Espirito Santo, en Brasil, de los roles que posee en la agricultura familiar y de los que podría tener en una agricultura más sostenible.
This paper examined cowpea value chain mapping and marketing efficiency among cowpea farmers in Ga-Molepo of Capricorn district and Bela-Bela of Waterberg district. Primary data was collected through face to face interviews from 80 smallholder cowpea farmers using structured questionnaire. Value chain map, descriptive statistics and binary logistic regression model were used to analyse the data
Based on three rounds of panel data (2007, 2009, and 2012) on indigenous households, this study assessed the impacts of Integrated Aquaculture-agriculture value chain participation on the welfare of marginalized poor indigenous rural households in Bangladesh. We also examined the distributional impacts of IAA value chain
Changes in the structure of value chains have opened up lucrative opportunities for smallholder producers to increase income as a means to improve their livelihoods. Yet, recent literature argues that smallholder producers are better off in their current markets than when integrated in high value chains on disadvantageous terms. This article studies the terms of integration of smallholder producers in high value chains from a marketing systems perspective
There is a lack of quantitative information about farmers preferences of those activities, which are crucial to refine capacity development activities in the future. This study employs a discrete choice experiment analysing the willingness to pay to determine the preferences of small-scale farmers for agricultural training with respect to the training method, trainer, duration, location and additional offers
The aim of the paper is to evaluate the impact of value-webs as an innovation in agricultural production on welfare of cassava smallholders in Nigeria. The estimation procedure involved the alternative process of multivalued treatment models when treatment units have multiple values. The study thus extends previous impact studies which focused on estimating causal effects from binary treatment units. The treatment units were determined from the extent of utilization of cassava which informed the classification of households into value-web groups.
This paper has been prepared from a transcript of a presentation at the Crawford Fund 2017. This talk is a synthesis of some of the emerging issues we are seeing in the digital revolution, and how we can overcome the barriers to digitalised agricultural systems in the developing world