Advances in intelligent and autonomous systems to improve irrigation and fertiliser efficiency
Paper
Paper/Presentation Title | Advances in intelligent and autonomous systems to improve irrigation and fertiliser efficiency |
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Presentation Type | Paper |
Authors | Raine, Steven R. and McCarthy, Alison C. |
Editors | Currie, L. D. and Christensen, C. L. |
Journal or Proceedings Title | Occasional Report |
Journal Citation | 27, pp. 1-11 |
Number of Pages | 11 |
Year | 2014 |
Place of Publication | Palmerston North, New Zealand |
Web Address (URL) of Paper | http://www.massey.ac.nz/~flrc/workshops/14/Manuscripts/Paper_Raine_2014.pdf |
Conference/Event | Nutrient management for the farm, catchment and community |
Event Details | Nutrient management for the farm, catchment and community Event Date 18 to end of 20 Feb 2014 Event Location Palmerston North, New Zealand Event Venue Fertilizer and Lime Research Centre, Massey University |
Abstract | Water, nutrients, energy and labour are critical determinants of on-farm productivity and profitability. The National Centre for Engineering in Agriculture (NCEA) has a 20 year history of working with industry to improve the efficiency and productivity of irrigated farming systems. The NCEA has developed software tools and hardware technologies to improve the measurement, evaluation, optimisation and control of these key inputs for both manually operated and automated irrigation and fertiliser application systems. The tools are applicable to both uniform and spatially variable application systems. Spatial variability in crop water and nutrient requirements can occur as a result of spatial and temporal variations in soil structure, fertility and properties; or pests and diseases. Two irrigation and fertiliser software frameworks that have been developed at the NCEA are ‘KMSI’ and ‘VARIwise’. KMSI is a suite of online irrigation, nutrient and energy calculators and database tools which present sensed data, performance evaluations and recommendations for growers and consultants with manually operated irrigation and fertiliser application systems. Two tools in KMSI are IPART and NutriCalc, which provide performance auditing VARIwise steps toward autonomous irrigation and nutrient prescription and application by linking infield sensing, data processing and control actuation. ‘VARIwise’ is a software framework that implements and simulates control strategies on fields with sub-field-scale variations in all input parameters (including nutrients). Input parameters are measured using infield soil sensors and on-the-go crop monitoring cameras. The control systems can be implemented in VARIwise either in simulation through APSIM or in field implementations using irrigation and fertiliser actuators. Variants of the framework have been developed for centre pivots, lateral moves and surface irrigation systems. This paper will provide an overview of the irrigation and nutrient management tools developed by the NCEA along with a focus on current research investigating automated nutrient and water management control strategies for irrigation systems. |
Keywords | water management; Variwise; irrigation management |
ANZSRC Field of Research 2020 | 400799. Control engineering, mechatronics and robotics not elsewhere classified |
300201. Agricultural hydrology | |
300499. Crop and pasture production not elsewhere classified | |
Public Notes | Correct citation is: Raine, S.C. and McCarthy, A. C., 2014. Advances in intelligent and autonomous systems to improve irrigation and fertiliser efficiency. In: Nutrient management for the farm, catchment and community. (Eds L.D. Currie and C L. Christensen). http://flrc.massey.ac.nz/publications.html. Occasional Report No. 27. Fertilizer and Lime Research Centre, Massey University, Palmerston North, New Zealand. 11 pages. |
Byline Affiliations | National Centre for Engineering in Agriculture |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2557/advances-in-intelligent-and-autonomous-systems-to-improve-irrigation-and-fertiliser-efficiency
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