Agricultural Engineering Department, Faculty of Agriculture, Suez Canal University, Ismailia, Egypt; Institute of Agriculture and Food Research and Technology (IRTA), Finca Camps i Armet s/n, 17121 Monells, Spain; Department of Pharmacology & Toxicology, College of Pharmacy, King Saud University, Saudi Arabia.
Agricultural Engineering Department, Faculty of Agriculture, Suez Canal University, Ismailia, Egypt.
Food Res Int. 2020 May;131:109025. doi: 10.1016/j.foodres.2020.109025. Epub 2020 Jan 22.
Due to the massive progress occurred in the past few decades in imaging, electronics and computer science, infrared thermal imaging technique has witnessed numerous technological advancement and smart applications in non-destructive testing and quality monitoring of different agro-food produces. Thermal imaging offers a potential non-contact imaging modality for the determination of various quality traits based on the infrared radiation emitted from target foods. The technique has been moved from just an exploration method in engineering and astronomy into an effective tool in many fields for forming unambiguous images called thermograms eventuated from the temperature and thermal properties of the target objects. It depends principally on converting the invisible infrared radiation emitted by the objects into visible two-dimensional temperature data without making a direct contact with the examined objects. This method has been widely used for different applications in agriculture and food science and technology with special applications in seed quality assessment. This article provides an overview of thermal imaging theory, briefly describes the fundamentals of the system and explores the recent advances and research works conducted in quality evaluation of different sorts of seeds. The article comprehensively reviewed research efforts of using thermal imaging systems in seed applications including estimation of seed viability, detection of fungal growth and insect infections, detection of seed damage and impurities, seed classification and variety identification.
由于过去几十年中在成像、电子和计算机科学方面取得的巨大进展,红外热成像技术在无损检测和不同农产品质量监测方面经历了许多技术进步和智能应用。热成像提供了一种潜在的非接触式成像方式,可基于目标食品发出的红外辐射来确定各种质量特征。该技术已从工程和天文学中的探索方法发展成为许多领域的有效工具,可形成明确的图像,这些图像是由目标物体的温度和热特性产生的热图像。它主要依赖于将物体发出的不可见红外辐射转换为可见的二维温度数据,而无需与被检查物体直接接触。这种方法已广泛用于农业和食品科学技术的不同应用中,特别是在种子质量评估中。本文概述了热成像理论,简要描述了系统的基本原理,并探讨了在不同类型种子质量评估方面的最新进展和研究工作。本文全面回顾了使用热成像系统在种子应用中的研究工作,包括估计种子活力、检测真菌生长和昆虫感染、检测种子损伤和杂质、种子分类和品种鉴定。