معرفی
Jane Kelly is a Researcher at Charles Sturt University, affiliated with the Faculty of Agricultural, Environmental and Veterinary Sciences and the Gulbali Research Institute. Her work focuses on livestock management, biosecurity, and the application of remote sensing and artificial intelligence in agricultural and environmental systems.
Education:
- PhD in Agriculture, Charles Sturt University (Awarded: 23 Dec 2020)
- Graduate Diploma in Education, University of Western Sydney (Awarded: 03 Apr 2002)
- Bachelor of Science in Agriculture (Honours), University of Sydney (Awarded: 23 May 2001)
Her research interests include weed-livestock interactions, zoochory, feral livestock management, remote detection of weeds using drones and AI, and sustainable agricultural practices. She actively contributes to the integration of digital technologies in weed and biosecurity management.
Recent publications highlight a strong trend in using UAV-based multispectral and hyperspectral imaging combined with artificial intelligence for detecting invasive species such as African Lovegrass, Bitou bush, and mouse-ear hawkweed. Her work bridges ecological research with practical agricultural applications, emphasizing real-time monitoring and precision management.
Scientific Awards and Grants:
- CAWS Travel Award (2022) – Successful
- A No-Antibiotic Low Emission verification and traceability pathway for lamb production (2024) – Grant
- Development of drone technology for Tropical Soda Apple control (2022) – Successful Grant
- A Smart Weed Seed Management Tool (2020) – Unsuccessful Grant
- Development of digital feed efficiency measurement in sheep (2021) – Unsuccessful Grant
Jane Kelly is actively involved in advising and collaborative research, particularly in grant-funded projects focusing on sustainable livestock systems. She co-founded the Weed Remote Sensing Community of Practice, fostering knowledge exchange. She participates in public engagement through field days, media contributions, and academic conferences, enhancing the impact of her research.
She is a key member of interdisciplinary research teams utilizing drone technology and AI for environmental monitoring. Her lab collaborations involve experts in remote sensing, machine learning, and agricultural engineering, working toward scalable solutions for invasive species management.
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