Background

Monte Carlo (MC) has been widely used in fields such as biomedicine and computer graphics owing to its unique capabilities of flexibility, high-accuracy and simplicity for modeling light transport in tissues, but the applications in food and agricultural domain are limited or hindered due to the lack of knowledge on the optical properties of food products. Thanks to major breakthroughs in optical measuring and computing technologies since the year of 2000, significant advances have been made in sensing techniques for measuring tissue optical properties. Therefore, MC has witnessed great progress in food and agricultural domain over the past two decades.

Scope and approach

The development of MC for modeling light transport in food and agricultural products, including the principle, advanced MC methods, relevant applications, and future perspectives were reviewed. The paper is aimed at helping interested researchers to gain a better understanding of the MC technique, thus stimulating quality and safety assessment of food and agricultural products.

Key findings and conclusions

This paper provides an overview of the procedure of MC modeling for light transport in food and agricultural products and commonly used MC models. Advanced methods for accelerating MC simulations are then presented. Applications of MC simulations in food and agricultural products, since the year of 2000, for optimizing the design of sensing configuration and parameter, estimating tissue optical property, and assessing quality and safety are then reviewed. Finally, challenges and future perspectives for MC technique in modeling light transport are discussed.

中文翻译：

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蒙特卡洛：一种灵活而准确的技术，用于对食品和农产品中的光传输进行建模

背景

蒙特卡洛（MC）由于具有独特的灵活性，高精度和简单性，可以对组织中的光传输进行建模，因此已广泛应用于生物医学和计算机图形学等领域，但由于限制或阻碍了其在食品和农业领域的应用，缺乏对食品光学特性的了解。由于自2000年以来在光学测量和计算技术方面的重大突破，在用于测量组织光学特性的传感技术方面已取得了重大进展。因此，在过去的二十年中，MC见证了食品和农业领域的巨大进步。

范围和方法

回顾了在食品和农产品中轻型运输建模的MC的发展，包括原理，先进的MC方法，相关应用和未来前景。本文旨在帮助感兴趣的研究人员更好地理解MC技术，从而刺激食品和农产品的质量和安全性评估。

主要发现和结论

本文概述了食品和农产品中轻型运输的MC建模过程以及常用的MC模型。然后介绍了用于加速MC仿真的高级方法。自2000年以来，对MC模拟在食品和农产品中的应用进行了综述，以优化感测配置和参数的设计，估计组织的光学特性以及评估质量和安全性。最后，讨论了MC技术在光传输建模中的挑战和未来前景。