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A cotton irrigator’s decision support system and benchmarking tool using national, regional and local data

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conference contribution
posted on 2024-06-04, 05:01 authored by J Vleeshouwer, NJ Car, John HornbuckleJohn Hornbuckle
We are developing a smart phone application that provides irrigation water management advice using satellite imagery, weather stations and field-scale farmer provided data. To provide tailored advice we use high resolution satellite imagery with national coverage provided by Google Earth Engine services to estimate field-specific crop growth information – crop coefficients – and we are among the first systems to do so. These coefficients combined with regional scale weather station data for major cotton growing regions and farmer-supplied data means we can run daily water balance calculations for every individual cotton field in Australia and provide irrigation decision support advice. We are using automated data processing to ensure the latest satellite and weather data is used for advice without manual effort. We will also deliver benchmarking data to farmers based on their previous seasons as well as peers’ farms in order to compare absolute (calculated) and relative (benchmarked) advice.

History

Volume

448

Pagination

187-195

Location

Melbourne, Vic.

Open access

  • Yes

Start date

2015-03-25

End date

2015-03-27

ISBN-13

978-3-319-15994-2

Language

eng

Publication classification

E Conference publication, E1.1 Full written paper - refereed

Copyright notice

2015, IFIP International Federation for Information Processing

Editor/Contributor(s)

Denzer R, Argent RM, Schimak G, Hřebíček J

Title of proceedings

ISESS 2015 : Proceedings of the 11th IFIP WG5.11 International Symposium

Event

International Federation for Information Processing. Conference (11th : 2015 : Melbourne, Vic.)

Publisher

Springer

Place of publication

Cham, Switzerland

Series

International Federation for Information Processing Conference