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Agriculture's technological makeover

 
: Bauckhage, C.; Kersting, K.; Schmidt, A.

:
Preprint urn:nbn:de:0011-n-2067444 (2.9 MByte PDF)
MD5 Fingerprint: a5611b5fc50a30bf4a782cdb691e21b5
© 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 22.3.2013


IEEE pervasive computing 11 (2012), Nr.2, S.4-7
ISSN: 1536-1268
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IAIS ()
pervasive computing; agriculture

Abstract
With agriculture becoming a knowledge-intensive industry, pervasive computing is poised to help solve one of the world's most pressing challenges of information dissemination, marketing products, and conducting business. These intelligent systems measure light reflectance from leaves and correlate it to nitrogen levels in the soil, and control application systems then apply the optimal amounts of fertilizer. John Deere developed a prototype of an automatic tractor that uses satellite signals to follow pre-programmed routes without a human driver. It is expected that with the availability of more computation combined with sensing and networking, new forms of farming will emerge. Farmers can obtain corresponding data from hyperspectral measurements of plants, which record spectrums of several hundred wavelengths. This data contains information about changes in a plant's pigment composition, which indicates metabolic processes involved in responses to biotic or abiotic stress.

: http://publica.fraunhofer.de/dokumente/N-206744.html