Claar, John B. (author / Director, International Program for Agricultural Knowledge Systems (INTERPAKS))
Format:
Speech
Publication Date:
1984-01
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 151 Document Number: D10094
Notes:
16 pages., This speech is from a project file maintained by the Agricultural Communications Program, University of Illinois, Urbana-Champaign > "International" section > "Sierra Leone" file., Speech at the Second Conference regarding ACRE in Sierra Leone, January 11-14, 1984., Comprehensive thoughts from an emeritus state Extension director regarding "what the world has learned about knowledge transfer," with special emphasis on Extension services
13 pages, via online journal, In recent years there has been a great deal of interest in farming systems research (FSR) as a means of getting formal research and extension systems to work with and respond to the needs of resource-poor farmers. However, the results of many FSR programmes have been disappointing. This paper reviews a number of ‘successful’ FSR activities and argues that the development and use of research approaches and methods cannot be separated from the political, economic and institutional context in which they were developed and used. A closer examination of some of the new FSR methods shows that an understanding of the specific context in which these activities were developed and used is essential to understanding the potential relevance of the methods/approaches to other circumstances. A lack of an historical perspective concerning the source and advocacy of new FSR approaches and methods is one of the reasons why many FSR programmes in the past have given rise to disappointing results.
17 pages, via online journal, The greatest challenge now facing agricultural science is not how to increase production overall but how to enable resource-poor farmers to produce more.
The transfer-of-technology (TOT) model of agricultural research is part of the normal professionalism of agricultural scientists. In this model, scientists largely determine research priorities, develop technologies in controlled conditions, and then hand them over to agricultural extension to transfer to farmers. Although strong structures and incentives sustain this normal professionalism, many now recognise the challenge of its bad fit with the needs and conditions of hundreds of millions of resource-poor farm (RPF) families. In response to this problem, the TOT model has been adapted and extended through multi-disciplinary farming systems research (FSR) and on-farm trials. These responses retain power in the hands of scientists. Information is obtained from farmers and processed and analysed in order to identify what might be good for them. A missing element is methods to encourage and enable resource-poor farmers themselves to meet and work out what they need and want.
13th European Farming Systems Association (IFSA) Symposium, Greece., Provides a narrative review which identifies key functional characteristics that enable learning in demonstration farms.
3 pages, Horticulture crops play significant role in improving the productivity of land, generating employment, enhancing exports, improving economic conditions of the farmers and entrepreneurs and providing food and nutritional security to the people. For better management of the existing crops and to bring more area under horticulture crops, updated and accurate database is necessary for systematic planning and decision making. Remote sensing (RS) is an advanced tool that aids in gathering and updating information to develop scientific management plans. Many types of sensors namely microwave radiometers, laser meters, magnetic sensors and cameras collect electromagnetic information to derive accurate, large-scale information about the Earth's surface and atmosphere. Because these data and images are digital, they can easily be quantified and manipulated using computers. RS can be used in efforts to reduce the risk and minimize damage. The same data can be analyzed in different ways for different applications. A number of studies were aiming at identification of crop, area estimation, disease and pest identification, etc. using satellite data in horticulture. The potential use of RS techniques in Horticulture is briefly reviewed in order to exploit the available techniques for efficient crop management.
