結合無人機遙測、人工智慧與邊緣運算之 水稻倒伏評估.

In recent years, the impact of global warming is becoming increasingly noticeable, and extreme weather is causing rapid and frequent environmental changes. Rice is Taiwan*s most important crop and one of the world's major food crops. Rice lodging majorly affects the livelihoods of farmers, and the government has been attempting to introduce technological tools to help crop damage assessment, so eligible farmers can receive compensation more efficiently. This article introduces a highly efficient assessment method through unmanned aerial vehicle based on multispectral remote sensing and AI machine learning technology on edge computing devices to assess rice lodging. The machine learning model is capable of accurately inferencing rice paddies and lodging areas with the objective and quantifiable features. This assessment method can save significant amounts of time and money for the assessment of lodging damages. This technology has the potential to be applied to large-scale rice paddy management and disaster assessments cost-effectively. [ABSTRACT FROM AUTHOR]