Tender Advertisement #1396870
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Brief
BY23000 - Using artificial intelligence to develop automated monitoring systems for the banana and fruit spotting bugs
Contract #
BY23000Location
EverywhereClosed On
Tue 28/11/2023 - 03:00 PM AEDTTender Details
Hort Innovation is the not-for-profit, grower-owned research and development corporation for Australia’s $16 billion horticulture industry. We invest more than $120M per year in research and development, marketing and trade activities to build a prosperous and sustainable future for growers..
Hort Innovation is seeking a suitably qualified, experienced and capable delivery partner for the project: Using artificial intelligence to develop automated monitoring systems for the banana and fruit spotting bugs (BY23000).
This investment proposes three specific objectives to address the issue of ineffective monitoring and management of fruit and banana spotting bugs.
• Establishing solid foundation for commercial automated pest monitoring system. This involves developing a deep learning algorithm and real-time, monitoring capability that will lay the foundation for the commercialisation pathway of smart fruit and banana spotting bugs detection system.
• Undertaking field survey to better understand fruit and banana spotting bug prevalence across different production regions and tree crops. This objective involves using artificial intelligence to measure population densities and better understand fruit and banana spotting bug behaviour to guide trapping strategies.
• Assessing the effectiveness of a range of products to work as slow-release and zero-order behaviour carriers for the fruit and banana spotting bugs’ lure. Potential materials should be evaluated for effectiveness and longevity in controlled environment and field studies. The focus of this objective should be targeted towards sex pheromones rather than plant volatiles. All experiments should be conducted in collaboration with project MT21017.
Hort Innovation has prepared a Request for Proposal (RFP) document that provides background information, outlines the scope of services, the procurement process and the information required from interested parties.
The RFP may be downloaded from www.tenders.net (you will need to be a member of tenders.net to access this information).
The closing date for responses is (AEDT), 28/11/2023 3:00 PM
Hort Innovation is seeking a suitably qualified, experienced and capable delivery partner for the project: Using artificial intelligence to develop automated monitoring systems for the banana and fruit spotting bugs (BY23000).
This investment proposes three specific objectives to address the issue of ineffective monitoring and management of fruit and banana spotting bugs.
• Establishing solid foundation for commercial automated pest monitoring system. This involves developing a deep learning algorithm and real-time, monitoring capability that will lay the foundation for the commercialisation pathway of smart fruit and banana spotting bugs detection system.
• Undertaking field survey to better understand fruit and banana spotting bug prevalence across different production regions and tree crops. This objective involves using artificial intelligence to measure population densities and better understand fruit and banana spotting bug behaviour to guide trapping strategies.
• Assessing the effectiveness of a range of products to work as slow-release and zero-order behaviour carriers for the fruit and banana spotting bugs’ lure. Potential materials should be evaluated for effectiveness and longevity in controlled environment and field studies. The focus of this objective should be targeted towards sex pheromones rather than plant volatiles. All experiments should be conducted in collaboration with project MT21017.
Hort Innovation has prepared a Request for Proposal (RFP) document that provides background information, outlines the scope of services, the procurement process and the information required from interested parties.
The RFP may be downloaded from www.tenders.net (you will need to be a member of tenders.net to access this information).
The closing date for responses is (AEDT), 28/11/2023 3:00 PM
This information is not guaranteed to be accurate or complete. Please confirm all details with the Tendering Firm before responding.
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