Agriculture's technological makeover

IEEE Pervasive Computing

Volumn 11, Issue 2, 2012, Pages 4-7

  Bauckhage, Christian ^a,b   Kersting, Kristian ^a,b   Schmidt, Albrecht ^c  

^a UNIVERSITY OF BONN   (Germany)

^b FRAUNHOFER IAIS   (Germany)

^c UNIVERSITY OF STUTTGART   (Germany)

Author keywords

agriculture; computational intelligence; computational sustainability; sensor equipped computing devices

Indexed keywords

A PLANTS; ABIOTIC STRESS; COMPUTING DEVICES; CONTROL APPLICATIONS; HUMAN DRIVERS; HYPERSPECTRAL; JOHN DEERE; KNOWLEDGE-INTENSIVE INDUSTRIES; LIGHT REFLECTANCE; METABOLIC PROCESS; NEW FORMS; NITROGEN LEVELS; PIGMENT COMPOSITION; SATELLITE SIGNALS;

ARTIFICIAL INTELLIGENCE; INFORMATION DISSEMINATION; INTELLIGENT SYSTEMS; UBIQUITOUS COMPUTING;

AGRICULTURE;

EID: 84860493217     PISSN: 15361268     EISSN: None     Source Type: Journal    
DOI: 10.1109/MPRV.2012.25     Document Type: Article

References (5)

1. "How to Feed a Hungry World," Nature, 20 July 2010, pp. 531-532.
2. J. Burrell et al., "Vineyard Computing: Sensor Networks in Agricultural Production," IEEE Pervasive Computing, vol. 3, no. 1, 2004, pp. 38-45.
3. T. Wark et al., "Transforming Agriculture through Pervasive Wireless Sensor Networks," IEEE Pervasive Computing, vol. 6, no. 2, 2007, pp. 50-57. (Pubitemid 46645072)
4. K. Kersting et al., "Simplex Distributions for Embedding Data Matrices over Time," to appear in Proc. 12th SIAM Int'l Conf. Data Mining (SDM), 2012.
5. C. Gomes, "Computational Sustainability," The Bridge, National Academy of Engineering, vol. 29, no. 4, 2009, pp. 5-17.