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

该项目旨在开发鳄梨品质(干物质百分比、含油量、腐烂敏感性)的非侵入性快速评估技术，适用于在线、在线和田间环境中使用近红外光谱方法。这些非侵入性技术的开发和引入鳄梨行业将使快速低成本测试成为可能，以支持现有的质量控制程序。这项技术有可能通过保证高质量和优化保质期来增强澳大利亚生产商/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外市场。

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.