Prediction of fruit quality by non-invasive assessment, with special reference to avocado

通过非侵入性评估预测水果品质，特别是鳄梨

• 批准号: LP0562294
• 负责人: Prof Ronald White
• 金额: $ 14.31万
• 依托单位: James Cook University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-12-31 至 2009-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0562294
• 关键词: Prediction; fruit; quality; non; invasive

The project aims to develop non-invasive rapid assessment techniques of avocado quality (dry matter percentage, oil content, susceptibility to rots) suitable for application in at-line, in-line and in-field settings using NIR spectroscopic methods. The development and introduction of these non-invasive technologies into the avocado industry will allow rapid low-cost testing to support existing quality control procedures. The technology has the potential to enhance the competitive advantage of Australian producers/processors by guaranteeing high quality and optimising shelf-life. The ability to deliver a differentiated product will maximise sales in existing markets and facilitate the targeting of new domestic and overseas markets.

该项目旨在开发鳄梨质量（干物质百分比，油含量，腐烂敏感性）的非侵入性快速评估技术，适用于使用近红外光谱方法的在线，在线和现场环境。 这些非侵入性技术的开发和引入鳄梨行业将允许快速低成本的测试，以支持现有的质量控制程序。 该技术有可能通过保证高质量和优化保质期来提高澳大利亚生产商/加工商的竞争优势。 提供差异化产品的能力将最大限度地提高现有市场的销售额，并促进瞄准新的国内和海外市场。