
Agriculture Technology and Adoption Centre Data Science, Artificial Intelligence and Machine Learning
Data Science, Artificial Intelligence and Machine Learning
- Courses
- Future Students
- Current Students
- Research and Teaching
- Partners and Community
- About JCU
- Celebrating 50 Years
- ALTAR
- Anton Breinl Research Centre
- Agriculture Technology and Adoption Centre
- Living on Campus
- Advanced Prawn Breeding Research Hub
- Advanced Analytical Centre
- Applying to JCU
- Alumni
- AMHHEC
- AusAsian Mental Health Research Group
- ARCSTA
- Area 61
- Australian/NZ Students
- Australian Lions Stinger Research
- Boating and Diving
- ATSIP
- Australian Tropical Herbarium
- Careers at JCU
- Association of Australian University Secretaries
- Careers and Employability
- Australian Quantum & Classical Transport Physics Group
- CITBA
- Centre for Tropical Bioinformatics and Molecular Biology
- Chancellery
- CMT
- CASE
- College of Business, Law and Governance
- College of Healthcare Sciences
- WHOCC for N&M Education and Research
- College of Medicine and Dentistry
- College of Science and Engineering
- CPHMVS
- COVID-19 Advice
- Centre for Disaster Solutions
- CSTFA
- Cyclone Testing Station
- The Centre for Disaster Studies
- Daintree Rainforest Observatory
- Diploma of Higher Education
- Discover Nature at JCU
- Division of Research and Innovation
- Division of Services and Resources
- Division of Student Life
- Division of Tropical Environments and Societies
- Division of Tropical Health and Medicine
- Economic Geology Research Centre
- eResearch
- ERC
- Estate
- JCU Events
- Financial and Business Services Office
- Fletcherview
- Foundation for Australian Literary Studies
- Gender Equity Action and Research
- GetReady4Uni
- Give to JCU
- Governance
- Information for JCU Cairns Graduates
- Graduate Research School
- Graduation
- JCU Ideas Lab
- Indigenous Education and Research Centre
- Indigenous Legal Needs Project
- IsoTropics Geochemistry Lab
- IT Services
- International Schools
- International Students
- JCU Connect
- JCU Contact Information
- JCU Eduquarium
- JCU Global Experience
- JCU Motorsports
- JCU Prizes
- JCU Sport
- JCU Turtle Health Research
- Language and Culture Research Centre
- LTSE
- LearnJCU
- Library
- Mabo Decision: 30 years on
- MARF
- Marine Geophysics Laboratory
- New students
- Off-Campus Students
- Office of the Provost
- Office of the Vice Chancellor and President
- Virtual Open Day
- Orpheus
- Outstanding Alumni Awards
- Parents and Partners
- Pathways to university
- Planning and Performance
- Planning for your future
- Placements
- Policy
- PAHL
- Publications
- Professional Experience Placement
- Queensland Research Centre for Peripheral Vascular Disease
- Rapid Assessment Unit
- RDIM
- Researcher Development Portal
- Safety and Wellbeing
- Scholarships
- Contextual Science for Tropical Coastal Ecosystems
- Staff
- State of the Tropics
- Strategic Procurement
- Student Equity and Wellbeing
- Student profiles
- SWIRLnet
- TARL
- TESS
- TREAD
- TropEco
- TQ Maths Hub
- TUDLab
- Unicare Centre and Unicampus Kids
- UAV
- VAVS Home
- Work Health and Safety
- WHOCC for Vector-borne & NTDs
- Media
- Copyright and Terms of Use
- Australian Institute of Tropical Health & Medicine
JCU is integrating key areas of machine learning, data mining, algorithm development, advanced modelling and big data analytics to address challenges for agriculture and aquaculture. We are increasing the quality, quantity, sustainability and cost-effectiveness of agricultural/aquaculture production, in spite of increasing challenges, through research and development in data science and machine learning.
Case Study
Climate Smart Sugarcane Irrigation Partnerships
Over the past decade the sugar industry has undergone a significant rationalisation and seeks to find efficiencies in the selection, growth and harvest of sugarcane. With the majority of the Australian sugar industry situated along the east coast from Grafton to Mossman, close to the Great Barrier Reef, farmers also seek to reduce irrigation costs and loss of fertilisers to improve production and environmental outcomes.
JCU researchers are working with industry partners AgriTech Solutions and others to minimise nutrient run-off, improve soil health and increase wetlands water quality by facilitating the adoption of world-class irrigation practices in sugarcane farming systems. They have also used the Internet of Things (IoT) to create a two-way communication channel between two existing Irrigation Decision Support Tools (WiSA and IrrigWeb) that provides evidence-based irrigation management as ‘one’ SMARTER technology