Automated monitoring of fall armyworm natural enemies in summer grain crops
Presentation
McCarthy, Alison, Girling, Robbie and Miles, Melina. 2025. "Automated monitoring of fall armyworm natural enemies in summer grain crops ." Australian Summer Grains Conference 2025. Benowa, Australia 07 - 09 Jul 2025
| Paper/Presentation Title | Automated monitoring of fall armyworm natural enemies in summer grain crops |
|---|---|
| Presentation Type | Presentation |
| Authors | McCarthy, Alison, Girling, Robbie and Miles, Melina |
| Year | 2025 |
| Conference/Event | Australian Summer Grains Conference 2025 |
| Event Details | Australian Summer Grains Conference 2025 Delivery In person Event Date 07 to end of 09 Jul 2025 Event Location Benowa, Australia Event Venue RACV Royal Pines Resort Gold Coast Event Web Address (URL) |
| Abstract | Fall armyworm (Spodoptera frugiperda) is a highly destructive pest that causes devastating losses in crop quality and yield and is estimated to cost Queensland growers $55-$95 million annually in sorghum and $9-$14 million annually in maize. A heavy reliance on insecticides increases input costs for growers and the risk of insecticide resistance development. In some regions and seasons, natural enemies (beneficials) play an important role in supressing FAW populations below damaging levels. Egg parasitioids, like Trichogramma pretiosum, offer maximum benefit by killing the developing larva in the egg, preventing the emergence of damaging larvae into the crop. However, monitoring for Trichogramma is challenging due to their microscopic size (0.5mm) and involves manual, timely and costly assessments of sentinel egg cards for presence and impact. Sensing technology has potential to automate monitoring on sentinel egg cards and field deployable systems and have been demonstrated in research studies including on egg cards for Helicoverpa armigera. Being able to assess natural enemy activity in real time will inform management decisions like timing the use of softer insecticides. |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 300409. Crop and pasture protection (incl. pests, diseases and weeds) |
| 460304. Computer vision | |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Centre for Agricultural Engineering |
| Centre for Sustainable Agricultural Systems | |
| Department of Primary Industries, Queensland |
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McCarthy, Alison, Shippam, Ralph and Agustina, Lidya. 2017. Sense-T: Sensor smart irrigation. Australia. Sense-T.Automated camera-based crop and irrigation monitoring
McCarthy, Alison. 2016. "Automated camera-based crop and irrigation monitoring." 18th Australian Cotton Conference (2016). Gold Coast, Australia 02 - 04 Aug 2016Smarter irrigation for profit - increasing farm profit through efficient use of irrigation input to dairy pastures
Hills, James, McCarthy, Alison, Foley, Joseph and McLaren, David. 2016. "Smarter irrigation for profit - increasing farm profit through efficient use of irrigation input to dairy pastures." 7th Australian Dairy Science Symposium (2016). Sydney, Australia 16 - 18 Nov 2016 Australia.Improving horticulture irrigation and fertiliser application using real-time, adaptive control
McCarthy, Alison. 2017. Improving horticulture irrigation and fertiliser application using real-time, adaptive control. Australia. Queensland Government.Optimal irrigation of cotton via real-time, adaptive control
McCarthy, Alison, Smith, Rod and Hancock, Nigel. 2013. Optimal irrigation of cotton via real-time, adaptive control. Narrabri, Australia. Cotton Research and Development Corporation.Advancing VARIwise towards autonomous irrigation and a grower's guide
McCarthy, Alison, Antille, Diogenes, Skowronski, Victor, Zhao, Bo, Kodur, Shreevatsa, Nguyen-Ky, Tai and Raine, Steven. 2016. Advancing VARIwise towards autonomous irrigation and a grower's guide. Narrabri, Australia. Cotton Research and Development Corporation.A preliminary evaluation of using fixed cameras for phenology measurements in a maize and soybean crop 2016/17
McCarthy, Alison and Raine, Steven. 2017. A preliminary evaluation of using fixed cameras for phenology measurements in a maize and soybean crop 2016/17. United States. Monsanto.Weed Suppression and Tolerance in Winter Oats
Fradgley, Nick S., Creissen, Henry E., Pearce, Helen, Howlett, Sally A., Pearce, Bruce D., Döring, Thomas F. and Girling, Robbie D.. 2017. "Weed Suppression and Tolerance in Winter Oats." Weed Technology. 31 (5), pp. 740-751. https://doi.org/10.1017/wet.2017.46New reports on dixenic associations between the symbionts of entomopathogenic nematodes, Photorhabdus and Xenorhabdus, and non-symbiotic bacteria
Kary, Naser Eivazian, Mohammadi, Davoud and Girling, Robbie. 2017. "New reports on dixenic associations between the symbionts of entomopathogenic nematodes, Photorhabdus and Xenorhabdus, and non-symbiotic bacteria." Journal of Crop Protection. 6 (4), pp. 497-511.Remote monitoring and automatic detection of grain crop attributes
McCarthy, Alison, Tscharke, Matthew and Schmidt, Erik. 2014. Remote monitoring and automatic detection of grain crop attributes. Toowoomba, Australia. University of Southern Queensland.Automated site-specific irrigation framework and evaluation
McCarthy, Alison. 2016. "Automated site-specific irrigation framework and evaluation." Irrigation Australia International Conference and Exhibition 2016: Irrigation - For Prosperity and Wellbeing. Melbourne, Australia 24 - 26 May 2016VARIwise: site-specific surface irrigation and fertigation using adaptive control
McCarthy, Alison. 2015. "VARIwise: site-specific surface irrigation and fertigation using adaptive control." 2015 Cotton Irrigation Technology Tour. Emerald & Moree & Nevertire, Australia 10 - 12 Feb 2015 Australia.Development of an integrated plant-based image sensing system for soil-water and nitrogen status estimation in cotton
McCarthy, Alison and Nguyen, Tai. 2015. Development of an integrated plant-based image sensing system for soil-water and nitrogen status estimation in cotton. Toowoomba, Australia. University of Southern Queensland.Control and sensing systems for automated site-specific irrigation
McCarthy, Alison. 2015. "Control and sensing systems for automated site-specific irrigation." CCA Cropping Solutions Seminar 2015. Moree, Australia 29 - 30 Jul 2015Automated site-specific control and sensing for irrigating dairy pastures
McCarthy, Alison. 2015. "Automated site-specific control and sensing for irrigating dairy pastures." Tasmanian Institute of Agriculture Dairy Centre Open Day 2015: Tips, Tools and Technologies to Better Manage Climate Variability. Burnie, Australia 02 Dec 2015Image analysis and artificial intelligence based approach for soil-water and nitrogen status estimation
McCarthy, Alison, Nguyen, Tai and Raine, Steven. 2015. "Image analysis and artificial intelligence based approach for soil-water and nitrogen status estimation." 2nd Australian Cotton Research Conference 2015: Science Securing Cotton's Future. Toowoomba, Australia 08 - 10 Sep 2015 Australia.Data requirements for automated model-based control of irrigation and fertiliser application
McCarthy, Alison and Raine, Steven. 2015. "Data requirements for automated model-based control of irrigation and fertiliser application." Acuna, T., Moeller, C., Parsons, D. and Harrison, M. (ed.) 17th Australian Agronomy Conference 2015: Building Productive, Diverse and Sustainable Landscapes (AAC 2015). Hobart, Australia 20 - 24 Sep 2015 Warragul, Australia.Automated camera-based height and flower detection for wheat and chickpea
McCarthy, Alison and Tscharke, Matthew. 2014. "Automated camera-based height and flower detection for wheat and chickpea." 5th International Workshop on Applications of Computer Image Analysis and Spectroscopy in Agriculture (ASABE 2014). Montreal, Canada 12 - 13 Jul 2014 St. Joseph, MI. United States.Real-time irrigation decision-making and control for site-specific irrigation of cotton using a centre pivot, 2012/13
McCarthy, Alison, Smith, Rod and Hancock, Nigel. 2014. "Real-time irrigation decision-making and control for site-specific irrigation of cotton using a centre pivot, 2012/13." Irrigation Australia Conference 2014: Water for Life, Future for All. Gold Coast, Australia 02 - 06 Jun 2014 Sydney, Australia.VARIwise: towards autonomous irrigation and a grower's guide
McCarthy, A. C.. 2014. "VARIwise: towards autonomous irrigation and a grower's guide." IRRICOMM – communication of irrigation research in cotton (2014). Narrabri, Australia 11 - 12 Mar 2014 Narrabri, Australia.