Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation
Technical report
McCarthy, Alison, Nunn, Christopher, Jamali, Hizbullah and Long, Derek. 2022. Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation
. Australia. Cotton Research and Development Corporation.
| Title | Automated infield canopy temperature assessment of early stage cotton using thermal camera and plant segmentation |
|---|---|
| Report Type | Technical report |
| Research Report Category | Industry |
| Authors | McCarthy, Alison, Nunn, Christopher, Jamali, Hizbullah and Long, Derek |
| Institution of Origin | University of Southern Queensland |
| Number of Pages | 54 |
| Year | 2022 |
| Publisher | Cotton Research and Development Corporation |
| Place of Publication | Australia |
| Web Address (URL) | https://smarterirrigation.com.au/wp-content/uploads/2022/08/SIP2-RRDP-2006-Plant-based-sensing-for-cotton-irrigation-Final-report-Public-version.pdf |
| Abstract | Developing strategies for optimising water use, yield and quality in both fully irrigated and partially irrigated systems, will contribute to long term sustainability of the Australian cotton industry. By maintaining best practices in water use Australian growers will continue to lead the world in producing highest yields in an environmentally sustainable manner. Uncertainty around availability of water in different years has made irrigation management challenging. New tools and approached are required to help farmers make informed irrigation decisions according to their farming situation especially water availability in a season. Plant-based methods of irrigation scheduling can help improve irrigation decision making as plants integrate the effect of both soil and aerial environments. CSIRO researchers at Narrabri have developed a plant-based method of irrigation scheduling for fully irrigated cotton using canopy temperature sensors. This project helped progress the adoption of this canopy temperature method of irrigation by the cotton industry and enable further refinement and testing the methodology in both fully and partially irrigated systems. There is great value in improved water use efficiency enabling a greater area of cotton production or higher yield of the planted area. The marginal return on one mega litre water is more than $500 (one bale of lint). If the industry was at approximately 472,000 ha of cotton production in 2016-17, and if 25% of the industry saved one mega litre per hectare, that value would be increased production worth $58 million. |
| Keywords | cotton; thermal camera; plant segmentation |
| ANZSRC Field of Research 2020 | 300206. Agricultural spatial analysis and modelling |
| 460304. Computer vision | |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | No affiliation |
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