Prediction of yield and quality in medicinal plant <i>Ligusticum chuanxiong</i> Hort. using uncrewed aerial vehicle multispectral measurement.

ABSTRACT: Accurate predicting the yield and quality of medicinal materials before harvest can effectively guide post-harvest process, including processing and storage, thereby ensuring the final quality of medicinal materials. Currently, traditional experimental methods for yield and quality estimation are inadequate to offer reliable guidance for harvesting and processing of medicinal plan. Uncrewed aerial vehicle (UAV) multispectral can quickly and accurately estimate the yield and quality of field crops. Based on the UAV multispectral data of Ligusticum chuanxiong Hort. obtained about half a month before and near harvest, this study predicted the rhizome yield and the content of active components such as ferulic acid, Z-ligustilide and senkyunolide A. Additionally, the quality discriminant

SUBMITTER: Li YF 

PROVIDER: S-EPMC11984469 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature