Non-destructive assessment of chicken egg fertility using hyperspectral imaging

使用高光谱成像无损评估鸡蛋受精能力

• 批准号: 453510-2013
• 负责人: Ngadi, Michael
• 金额: $ 3.48万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=555058
• 关键词: Non; destructive; assessment; chicken; egg

This study is designed to extend previous research on white shell eggs to hyperspectral imaging detection of fertility and hatchability of brown shell chicken eggs. This is a crucial step to commercialization of the new knowledge. Early detection of infertile and non-hatchable eggs would benefit hatcheries and poultry breeding farms by saving space, handling costs, and preventing contamination from exploder eggs. Development of an efficient, non-destructive and accurate apparatus used on plurality of white and brown shell eggs for identification of infertile egg and discrimination between live and early dead embryos can save the industry millions of dollars each year and would be advantageous to the hatchery industry. Recent research in our laboratory at McGill University showed high potential for application of HSI as a non-destructive method for assessing hatchability, embryo development and mortality in white-shell eggs. The success of the new developed approach needs to be tested on brown-shell eggs for the industrial implementation. The proposed study aims to investigate the potential of developing a unified spectral imaging system to detect fertility and hatchability of white and brown-shell eggs. The scientific knowledge generated in this study will address the interest of the industry in developing practical new approaches of automating detection of fertility and hatchability. The developed approaches in this project will allow for implementation of cost-effective and technologically advanced egg inspection systems that will promote Canada as the world leader in poultry production.

本研究旨在将之前对白色壳鸡蛋的研究扩展到棕色壳鸡蛋生育力和孵化率的高光谱成像检测。这是新知识商业化的关键一步。早期检测不育和不可孵化的鸡蛋将有利于孵化场和家禽养殖场节省空间，处理成本，并防止爆炸蛋的污染。开发一种用于多个白色和棕色壳蛋的有效的、非破坏性的和精确的设备，用于识别不育蛋和区分活的和早死的胚胎，每年可以为该行业节省数百万美元，并且将有利于孵化业。麦吉尔大学实验室最近的研究表明，HSI作为一种非破坏性方法，用于评估白壳鸡蛋的孵化率，胚胎发育和死亡率，具有很高的应用潜力。新开发的方法的成功需要在褐壳鸡蛋上进行测试，以实现工业化。该研究旨在探讨开发一种统一的光谱成像系统来检测白色和棕色壳鸡蛋的生育力和孵化率的潜力。本研究中产生的科学知识将解决该行业在开发自动检测生育力和孵化率的实用新方法方面的兴趣。该项目中开发的方法将允许实施具有成本效益和技术先进的鸡蛋检查系统，这将促进加拿大成为世界家禽生产的领导者。