1 / 12

Research question

Selection of irrigation duration for high performance furrow irrigation on cracking clay soils Rod Smith, Jasim Uddin , Malcolm Gillies. Research question. Is there a simple objective way of estimating time to cut-off for furrows in real-time &

kalli
Download Presentation

Research question

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Selection of irrigation duration for high performance furrow irrigation on cracking clay soilsRod Smith, JasimUddin, Malcolm Gillies

  2. Research question Is there a simple objective way of estimating time to cut-off for furrows in real-time & that does not require substantial data or complex computation

  3. Typical infiltration curves for a cracking clay soil

  4. Irrigation performance – various flow rates – 5% runoff

  5. Tcovs advance time to mid-way down furrow

  6. Data for 4 furrows x 4 irrigations

  7. Example application efficiencies (%) – one field – average of four furrows

  8. Application efficiencies (%) – single furrows * advance did not reach end of field

  9. Summary • Three methods compared: • ‘Autofurrow’ • Set distance cut-off • Guidelines based on advance rate • Common features • Data collected during an irrigation is used to control that irrigation • Speed of advance is a function of flow rate, soil properties, moisture deficit • Hence adapt to changes in those variables

  10. Summary • ‘Autofurrow’ is a reliable predictor of Tco but is data and computationally intensive. • The two simpler alternative methods give deliver performance generally equivalent to ‘Autofurrow’ and each other – but some variability • All methods deliver better performance than the ‘average’ grower • All three methods benefit from fine tuning, either manually or as self learning in automated systems

More Related