新型无损检测技术对林木种子活力筛选及资源保护的应用

A Review:Applications of New Non-destructive Testing Techniques for Forest Seed Vitality Screening and Resource Protection

为提升林木种子资源质量,拯救濒危植物,提高苗木成活率和保存率,选育优良品种和保护资源多样性,围绕林木种子活力筛选展开研究。重点针对基于光学特性包括红外热成像、多光谱成像、近红外光谱等新兴光谱成像,以及基于非光学特性包括电子鼻、机器视觉等无损检测技术进行原理解析,阐述并分析不同检测技术的适用场景及优缺点。未来林木种子的新兴检测技术应面向林木资源种子的发展需求和应用场景,充分利用不同技术和算法的优势,朝着“多模态,跨尺度”方向发展,以期为中国林木资源的保护和利用提供技术支持。

The efficient screening of forest seed resources is a long-term,scientific,and public welfare strategic need for the country.However,there are few reports on detection technologies tailored to the characteristics of forest seeds.To enhance the quality of forest seed resources,save endangered plants,improve the survival and preservation rates of seedlings,select superior varieties,and protect resource diversity,this study focuses on the vitality screening of forest seeds.It specifically targets emerging spectral imaging technologies based on optical properties,including infrared thermal imaging,multispectral imaging,and near-infrared spectroscopy,as well as non-optical property-based non-destructive testing technologies such as electronic noses and machine vision.The principles behind these technologies are analyzed,and their applicable scenarios and advantages/disadvantages are discussed.Future emerging detection technologies for forest seeds should aim at the developmental needs and application scenarios of forest resource seeds,fully utilize the advantages of different technologies and algorithms,and develop towards“multimodal,cross-scale”directions,in order to provide technical support for the protection and utilization of China’s forest resources.