CLAFIS Project - Data Fusion Framework for Agricultural Services

Bipjeet Kaur, Bhupjit Singh, Robert Owusu

Abstract

The chapter looks into the data fusion framework of CLAFIS (Crop, Livestock and Forests Integrated System for Intelligent Automation, Processing and Control in Arable and Livestock Farms, and Forests) EU- FP7 project. Part of the project looked at improving the existing services provided by FMIS which provide tentative suggestion to the farmer to perform certain tasks like spraying and fertilization based on the history, weather conditions, input from farmers and other aspects. In order to model these aspect and improve the precision of the services enough, for the farmer to rely on the services, data validation and prioritization techniques were implemented. Machine learning algorithms like Kalman filter which can fuse information from multiple source was also modeled.

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Paper Citation


in Harvard Style

Kaur B., Singh B. and Owusu R. (2015). CLAFIS Project - Data Fusion Framework for Agricultural Services.In European Projects in Knowledge Applications and Intelligent Systems - Volume 1: EPS Lisbon 2016, ISBN 978-989-758-356-8, pages 84-110. DOI: 10.5220/0007901100840110


in Bibtex Style

@conference{eps lisbon 201615,
author={Bipjeet Kaur and Bhupjit Singh and Robert Owusu},
title={CLAFIS Project - Data Fusion Framework for Agricultural Services},
booktitle={European Projects in Knowledge Applications and Intelligent Systems - Volume 1: EPS Lisbon 2016,},
year={2015},
pages={84-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007901100840110},
isbn={978-989-758-356-8},
}


in EndNote Style

TY - CONF

JO - European Projects in Knowledge Applications and Intelligent Systems - Volume 1: EPS Lisbon 2016,
TI - CLAFIS Project - Data Fusion Framework for Agricultural Services
SN - 978-989-758-356-8
AU - Kaur B.
AU - Singh B.
AU - Owusu R.
PY - 2015
SP - 84
EP - 110
DO - 10.5220/0007901100840110