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.
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.
This paper takes a closer look at innovation systems, including the various actors involved, their interrelationships, and governance mechanisms. Innovation systems operate at different levels, in terms of structure, functioning, and performance at the national level, and from two different angles: as a macrostructure that involves different functions and key organizations working on these functions, and as the composite of different innovation networks comprising individuals and local and national organizations.
Traditional approaches to innovation systems policymaking and governance often focus exclusively on the central provision of services, regulations, fiscal measures, and subsidies.
Africa RISING (AR) is a research-for-development program that aims to create opportunities for smallholder farmers to move out of hunger and poverty through sustainable intensification of their farming systems.
Agricultural transformation and development are critical to the livelihoods of more than a billion small-scale farmers and other rural people in developing countries. Extension and advisory services play an important role in such transformation and can assist farmers with advice and information, brokering and facilitating innovations and relationships, and dealing with risks and disasters.
Agriculture plays an important role in the economy of Pakistan and it is not possible to realize sustainable biological yields without following sustainable agricultural extension. However, these extension activities are not making significant impacts on crop yields and have not been able to help farmers realize sustainable biological yields and elevated rural livelihoods. The purpose of this study is to ascertain the perceptions of the farmers about the extension services. A survey study was conducted in the Peshawar district of Khyber Pakhtunkhwa (KP) province - Northern Pakistan.
Globally, the role of extension agents in scaling up the utilization of Climate Smart Agricultural Initiatives (CSAI) by farmers remains very crucial. This study examined the determinants of the involvement of extension agents in the dissemination of CSAI to farmers. A two-staged random sampling technique was used to elicit information from 277 extension agents in South West Nigeria using a structured questionnaire. Data were analysed using frequency counts, percentage and linear regression analysis
The General objective of the present study was to examine the present situation of food security in regard to agricultural production and consumption. Specific objectives are to identify and analyze (1) the modern resource efficient agricultural technologies, (2) their possible contribution in achieving food security with available resources, and (3) the potential contribution of agricultural extension and education for sustainable farming in the Kingdom.
The purpose of this research was to investigate factors influencing agricultural personnel and consultants’ attitude and behavioral intention to use precision agricultural technologies. The survey research and multistage random sampling were used to collect data from 183 agricultural consultants in Agricultural Engineering and Technical Consulting Services Companies in Iran