Aerial imagery for yield prediction
Presentation
McCarthy, Alison and Foley, Joseph. 2018. "Aerial imagery for yield prediction." 2018 Australian Cotton Conference. Gold Coast, Australia 07 - 09 Aug 2018
| Paper/Presentation Title | Aerial imagery for yield prediction |
|---|---|
| Presentation Type | Presentation |
| Authors | McCarthy, Alison (Author) and Foley, Joseph (Author) |
| Year | 2018 |
| Web Address (URL) of Paper | https://australiancottonconference.com.au/wp-content/uploads/Alison-McCarthy.pdf |
| Conference/Event | 2018 Australian Cotton Conference |
| Event Details | 2018 Australian Cotton Conference Event Date 07 to end of 09 Aug 2018 Event Location Gold Coast, Australia |
| Abstract | UAVs enable fast, high resolution image capture of cotton fields. These images are typically assessed manually to identify areas of stress or reduced productivity. However, these assessments are not currently linked directly with on-farm management decisions. NCEA has developed software that determines yield prediction and irrigation requirements from: (i) UAV images; (ii) automated image analysis that extract cotton growth rates; and (iii) biophysical cotton model. CottonInfo extension officers and agronomists collected imagery in three regions in the 2016/17 and 2017/18 cotton seasons. Yield predictions from the evaluations in the 2016/17 season were within 5% of the final yield. |
| Keywords | Aerial imagery; cotton yield; yield prediction |
| ANZSRC Field of Research 2020 | 300206. Agricultural spatial analysis and modelling |
| 400799. Control engineering, mechatronics and robotics not elsewhere classified | |
| 300403. Agronomy | |
| Byline Affiliations | National Centre for Engineering in Agriculture |
| Institution of Origin | University of Southern Queensland |
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https://research.usq.edu.au/item/q5062/aerial-imagery-for-yield-prediction
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