000259360 001__ 259360
000259360 005__ 20180123010845.0
000259360 037__ $$a1933-2017-1784
000259360 041__ $$aeng
000259360 260__ $$c1990
000259360 269__ $$a1990-07-29
000259360 300__ $$a12
000259360 336__ $$aConference Paper/ Presentation
000259360 520__ $$aThe transfer of agrotechnology has evolved along an evolutionary path that led from trial and error to statistical analysis and analog reasoning to systems-based methods. Conventional transfer procedures are described briefly, but the paper is focused on a systems approach made possible by recent advances in the development of computerized simulation models for crops, soils, weather and pests; expert systems; data management techniques; and the integration of these components into coherent conceptual structures called decision support systems. Such systems can be used for the strategic planning of agricultural research and development at the policy level and tactical decision making at the farm level. Agrotechnology transfer occurs through the knowledge and experience built into these "thought tools," which are beginning to revolutionize agriculture. The transfer process, after having been "pedocentric" and "genocentric," will thus become "infocentric." Telecommunication networks linking computers will be the conduit for exchange and transfer of agricultural information in the future.
000259360 542__ $$fBy depositing this Content ('Content') in AgEcon Search, I agree that  I am solely responsible for any consequences of uploading this Content to AgEcon Search and making it publicly available, and I represent and warrant that: I am either the sole creator and the owner of the copyrights and all other rights in the Content; or, without obtaining another’s permission, I have the right to deposit the Content in an archive such as AgEcon Search. To the extent that any portions of the Content are not my own creation, they are used with the copyright holder’s express permission or as permitted by law. Additionally, the Content does not infringe the copyrights or other intellectual property rights of another, nor does the Content violate any laws or another’s rights of privacy or publicity. The Content contains no restricted, private, confidential, or otherwise protected data or information that should not be publicly shared. I understand that AgEcon Search will do its best to provide perpetual access to my Content. In order to support these efforts, I grant the Regents of the University of Minnesota ('University'), through AgEcon Search, the following non-exclusive, irrevocable, royalty-free, world-wide rights and licenses: to access, reproduce, distribute and publicly display the Content, in whole or in part, in order to secure, preserve and make it publicly available, and to make derivative works based upon the Content in order to migrate the Content to other media or formats, or to preserve its public access. These terms do not transfer ownership of the copyright(s) in the Content. These terms only grant to the University the limited license outlined above.
000259360 546__ $$aEnglish
000259360 650__ $$aResearch and Development/Tech Change/Emerging Technologies
000259360 650__ $$aResearch Methods/ Statistical Methods
000259360 700__ $$aBeinroth, F.H. 
000259360 8560_ $$fsnyde350@umn.edu
000259360 8564_ $$s935153$$uhttp://ageconsearch.umn.edu/record/259360/files/26_39.pdf
000259360 909CO $$ooai:ageconsearch.umn.edu:259360$$pGLOBAL_SET
000259360 980__ $$a1933