運用人工智慧技術於草莓病蟲害檢測系統之研究

本研究介紹了一種基於人工智慧的草莓病蟲害自動檢測系統，旨在提高草莓種植過程中的病蟲害預防效率。敏實科大師生利用自動光學檢測技術(AOI)協助農民檢測草莓葉片是否受到病蟲害侵襲。系統結合了自主移動機器人(AMR)，在無人搬運車上安裝攝像頭，進行草莓田的掃描作業，取代傳統的人工檢查。掃描結果將實時上傳至雲端，幫助農民迅速識別並移除受害草莓株。這一技術不僅節省了大量人力，還展示了人工智慧技術在智慧農業中的應用潛力，對農民提供了有效的支援。

This study introduces an AI-based automatic detection system for strawberry pests and diseases, aimed at enhancing the efficiency of pest prevention in strawberry cultivation. Faculty and students from Minth University of Science and Technology employed Automated Optical Inspection (AOI) technology to assist farmers in detecting whether strawberry leaves are affected by pests or diseases. The system integrates Autonomous Mobile Robots (AMR), equipping unmanned vehicles with cameras to scan strawberry fields, replacing traditional manual inspection methods. The scan results are uploaded in real-time to the cloud, enabling farmers to quickly identify and remove affected plants. This technology not only significantly reduces labor requirements but also demonstrates the potential of AI in smart agriculture, providing farmers with effective support.