This study refines the participatory management (PM) in agricultural extension education (AEE) by adopting a multidimensional approach. PM is a process where extension agent (EA) tries to provide a good situation for AEE and share significant degree of power with their farmers. The data were obtained from samples of 290 Iranian farmers in Torbat Heydarieh, Iran. Methodology was descriptive and correlation. There was directly and a statically significant relation between all of components of PM regarding in effective AEE. The PM is a panacea for improving the AEE.
There is great untapped potential for farm mechanization to support rural development initiatives in low- and middle-income countries. As technology transfer of large machinery from high-income countries was ineffective during the 1980s and 90s, mechanization options were developed appropriate to resource poor farmers cultivating small and scattered plots. More recently, projects that aim to increase the adoption of farm machinery have tended to target service providers rather than individual farmers.
The nature of interactions between farmers and advisors is the focus of a growing body of research. While many studies explore the potential role of advisors in facilitating farmers' practice change in practices related to agricultural production such as soil, water, pest and animal health management, studies that specifically investigate how advisors support farmers with financial management (FM) are limited. The contribution this paper makes is to identify who farmers' FM advisors are and to shed light on how farmer-advisor interactions about FM are shaped.
The privatization of agricultural advisory and extension services in many countries and the associated pluralism of service providers has renewed interest in farmers’ use of fee-for-service advisors. Understanding farmers’ use of advisory services is important, given the role such services are expected to play in helping farmers address critical environmental and sustainability challenges. This paper aims to identify factors associated with farmers’ use of fee-for service advisors and bring fresh conceptualization to this topic.
In recent years, the agricultural industry has been experiencing an ever-increasing application of information and communication technologies globally. This new revolution has been touted to impact efficiency and productivity in the agricultural extension services within the agriculture sector. Notwithstanding this, empirical research need to be carried out amongst its users in the sector to ascertain these assertions.
El presente trabajo pretende ser una herramienta útil para APPAG, que les permita tener un diagnóstico empresarial y socio organizativo de la asociación, mismo que servirá para la identificación de las limitaciones y las fortalezas de la empresa. Estos avances permiten tener un insumo para la realización participativa de un plan estratégico, en el que se definen las acciones que se deben priorizar en un tiempo determinado. Tal plan es complementado con un plan de acción para definir actividades y dar cumplimiento a los objetivos de la asociación.
El trabajo se realizó en el cantón Puntarenas en los distritos de Paquera, Lepanto y Cóbano, pertenecientes a la provincia de Puntarenas, ubicado al sur de la Península de Nicoya, con el objetivo de diseñar un modelo de negocios para madera de bosques secundarios, mediante la selección de las especies forestales con mayor potencial de mercado y la caracterización de la cadena productiva de maderas nativas en las áreas seleccionadas.
Hoja informativa con prácticas de extensión agroecológicas
Esta presentación describe la experiencia evolutiva y los aprendizajes del Proyecto Innovaciones en cadenas de valor de Hortalizas especiales, Proyecto del MAP en la región del Trifinio
La investigación consistió en caracterizar las unidades productivas en función de su nivel de innovación o cambios que han realizado y su influencia con la pobreza, seguridad alimentaria familiar, nutrición de niños menores a 2.5 años y con la diversidad de ingresos de la familia. Se encontraron cuatro grupos de familia según su nivel de innovación, en donde las variables con mayor peso en la formación de los grupos fueron el número de cabras, número de especies vegetales para consumo humano, tamaño familiar y venta de mano de obra como fuente de ingresos.