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Information Fusion and Machine Learning in Spatial Prediction for Local Agricultural Markets
- Source :
- Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection ISBN: 9783319947785, PAAMS (Workshops)
- Publication Year :
- 2018
- Publisher :
- Springer International Publishing, 2018.
-
Abstract
- This research explores information fusion and data mining techniques and proposes a methodology to improve predictions based on strong associations among agricultural products, which allows prediction for future consumption in local markets in the Andean region of Ecuador using spatial prediction techniques. This commercial activity is performed using Alternative Marketing Circuits (CIALCO), seeking to establish a direct relationship between producer and consumer prices, and promote buying and selling among family groups.
- Subjects :
- Consumption (economics)
Computer science
business.industry
020206 networking & telecommunications
02 engineering and technology
Sensor fusion
Information fusion
Agriculture
Producer–consumer problem
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Spatial prediction
business
Industrial organization
Subjects
Details
- ISBN :
- 978-3-319-94778-5
- ISBNs :
- 9783319947785
- Database :
- OpenAIRE
- Journal :
- Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection ISBN: 9783319947785, PAAMS (Workshops)
- Accession number :
- edsair.doi...........fff43906d502d0a134326eaeefd7d7f4