Dynamically processing agricultural data from controlled legume sites

Isaac Nyabisa Oteyo, Kennedy Kambona, Clément Béra, Mary Esther Muyoka Toili, Wolfgang De Meuter, Stephen Kimani, Elisa Gonzalez Boix

Research output: Chapter in Book/Report/Conference proceedingConference paper

19 Downloads (Pure)

Abstract

Smart agriculture is becoming a discipline with increased data processing requirements due to the need to understand complex agricultural ecosystems. In these ecosystems, modern digital technologies, that extend conventional tools (e.g., rain gauge, thermometer etc.), are being used to continuously monitor the physical environment resulting into large quantities of datasets in an unprecedented pace. In order to get value out of this data, efforts are being harnessed to process the data and use the outcome to make decisions that affect farm management tasks. Most of the existing data processing approaches focus on batch processing with periodic feedback. Even though this is useful, it is more desirable to have the data processed in a timely manner to support farm management decisions. In this paper, we propose our vision for a dynamic data processing platform for smart agriculture called DyPro. The platform allows processing of data as soon as it arrives to the backend and feedback sent to control points for action. To validate our platform, we present a scenario where data is being emitted by sensors into a central server for processing as soon as it
arrives, and feedback sent to actuate required measures and controls.
Original languageEnglish
Title of host publicationThe Sixth African Higher Education Week and RUFORUM Biennial Conference 2018
PublisherRUFORUM
Pages183-192
Number of pages9
Publication statusPublished - 2018
EventThe Sixth African Higher Education Week and RUFORUM Biennial Conference - Kenyatta International Conference Center, Nairobi, Kenya
Duration: 22 Oct 201826 Oct 2018
http://www.ruforum.org/Biennial2018/

Publication series

NameRUFORUM Working Document Series
Number1
Volume17
ISSN (Print)1607-9345
ISSN (Electronic)1607-9345

Conference

ConferenceThe Sixth African Higher Education Week and RUFORUM Biennial Conference
CountryKenya
CityNairobi
Period22/10/1826/10/18
Internet address

Keywords

  • Big data
  • Data processing
  • Sensors
  • Smart agriculture
  • Smart farming

Fingerprint

Dive into the research topics of 'Dynamically processing agricultural data from controlled legume sites'. Together they form a unique fingerprint.

Cite this