Sense-T: Sensor smart irrigation
Project report
McCarthy, Alison, Shippam, Ralph and Agustina, Lidya. 2017. Sense-T: Sensor smart irrigation. Australia. Sense-T.
| Title | Sense-T: Sensor smart irrigation |
|---|---|
| Report Type | Project report |
| Authors | McCarthy, Alison (Author), Shippam, Ralph (Author) and Agustina, Lidya (Author) |
| Institution of Origin | University of Southern Queensland |
| Number of Pages | 6 |
| Year | 2017 |
| Publisher | Sense-T |
| Place of Publication | Australia |
| Web Address (URL) | http://www.sense-t.org.au/latest-news/news-items/focus-on-the-sensor-smart-irrigation-project |
| Abstract | The Sense-T Sensor-Smart Irrigation app predicts daily soil-water in the infield spatial zones using FAO-56. The irrigation requirement is determined in each zone from the difference between the predicted soil-water and field capacity. Incorporation of a biophysical crop production model enhances prediction capability for crop yield and impacts of irrigation management decisions on production and water use efficiency over the prediction horizon.Crop production models can be calibrated to reflect field conditions using machine vision and imagery from infield or remote sensors. This section presents an investigation of crop production models for incorporation into the app for production prediction. |
| Keywords | irrigation; crop production; crop yield; remote sensors |
| ANZSRC Field of Research 2020 | 300206. Agricultural spatial analysis and modelling |
| 300403. Agronomy | |
| Public Notes | Files associated with this item cannot be displayed due to confidentiality and copyright restrictions. |
| Byline Affiliations | National Centre for Engineering in Agriculture |
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