The article provides a conceptual framework and discusses research methods for analyzing pluralistic agricultural advisory services. The framework can also assist policy-makers in identifying reform options. It addresses the following question: Which forms of providing and financing agricultural advisory services work best in which situation? The framework ‘disentangles’ agricultural advisory services by distinguishing between (1) governance structures, (2) capacity, (3) management, and (4) advisory methods.
Argentine agriculture has undergone significant transformations over the past three decades. After a long period of stagnant production and productivity, starting in the early 1970s, a number of independent but interconnected events fostered a new technological cycle that induced rapid growth in cereals and oilseeds production. Zero tillage and the introduction of genetically modified soybean varieties were key elements of this change. Argentina reached a leading position across agricultural commodity markets.
This study assessed the capacity for designing and implementing agricultural and rural development policies, strategies, and programs in Nigeria. Data for this study were derived from initial consultations at the Federal Ministry of Agriculture and Water Resources (FMAWR), Federal Ministry of Women affairs and Social Development (FMWASD), and the Federal Ministry of Environment (FMEnv) early in 2008. Two consultation workshops were also held, one for relevant staff in the ministries, parastatals, and NGOs; and the other for relevant university professors and researchers.
This report presents the main results of the EU-funded IN-SIGHT project ‘Strengthening Innovation Processes for Growth and Development’. The authors sketched out a conceptual framework and knowledge base for a more effective European policy on innovation in agriculture and rural areas. Both conceptual framework and knowledge base are consistent with the new European agenda for agricultural and rural policy and sensitive to the diversity of the European agricultural and rural systems.
This presentation was realized for the GFAR workshop on "Adoption of ICT Enabled Information Systems for Agricultural Development and Rural Viability" (at IAALD-AFITA-WCCA World Congress, 2008). It presents lessons learned through linking research to extension, including examples from projects in Nigeria, Colombia, Uganda ,Costa Rica, Egypt and Bhutan.
En este artículo se realiza un análisis crítico teórico-práctico de los conceptos de innovación, extensionismo y transferencia de tecnología. A partir de los mismos, de sus fundamentos metodológicos y limitaciones, se presentan algunas alternativas al modelo lineal de transferencia de tecnología (TdT). Se discute acerca de una propuesta alternativa de innovación, en la cual el desarrollo de alianzas efectivas y la comprensión y síntesis de visiones compartidas resulta clave para enfrentar desafíos y problemas del entorno, cada vez más complejo y cambiante.
Este documento describe la iniciative de ;a Secretaría de Fomento Agropecuario del Estado de Coahuila que crea a solicitud expresa de los productores rurales, el programa de extensionismo agropecuario y rural, con el propósito de llevar al campo un sistema integral de asistencia técnica, soportado en la tecnología que generan las instituciones de investigación, y con el respaldo de técnicos altamente capacitados, comprometidos con el desarrollo rural sustentable. Dentro de los principales objetivos del programa, está en el caso de cultivos, elevar los rendimientos y mejorar su calidad, y pa
In this paper, a novel method to collect symptoms of the disease, as observed by the farmers, using a mobile phone application has been presented. A cumulative composite risk index (CCRI) obtained from more than one existing disease forecast models is validated from the actual late blight queries received from the farmers. The main contribution of the paper is a protocol that combines the symptoms based diagnostic approach along with the plant disease forecasting models resulting in detection of Potato late blight with higher accuracy.