ABSTRACT: Mango is one of the most important tropical fruits with high economic value, but it suffers from significant post-harvest losses due to improper handling, storage, and transportation conditions. Conventional post-harvest practices depend on manual monitoring and fixed storage parameters, which often fail to respond to dynamic environmental changes. Digital Twin technology provides a smart solution by creating a virtual representation of the physical mango fruit and its post-harvest environment. This article presents a comprehensive study on the application of digital twin technology for mango post-harvest management. The proposed approach integrates IoT sensors, cloud computing, and data analytics to monitor fruit quality in real time, predict spoilage risks, and optimize storage and transportation decisions. The study highlights the process, benefits, challenges, and future scope of digital twin implementation in the mango supply chain. INTRODUCTION: Mango is widely cul...