Search

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]

Copyright of Guangdong Architecture Civil Engineering is the property of Guangdong Architecture Civil Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)