Work

Microscopy image recognition method of stomatal open and closed states in living leaves based on improved YOLO-X

Year: 2023

Type: article

Abstract: Stomata are the main medium of water exchange in plants, regulating gas exchange and responsible for the processes of photosynthesis and transpiration. Stomata are surrounded by guard cells and the transpiration rate is controlled by opening and closing stomata. Stomatal state (open and close) plays an important role in describing the health of plants. In addition, counting the number of stomata is of great significance for scientists to study the number of opening and closeing stomata and to measure their density and distribution on the leaf surface through different sampling techniques. Although some techniques for calculating the number of stomata have been proposed, these methods are used to produce samples in isolation and then to identify and classify the states in the sample leaves. We improved YOLO-X and then implemented a transfer learning method to count the number of stomata and identify the stomatal opening and closing status of live black poplar leaves. In the end, the average accuracy and recall of the method were 98.3% and 95.9%, which helped researchers to obtain accurate information on leaf stomatal opening and closing status in an efficient and simple way.

Source: Theoretical and Experimental Plant Physiology

DOI: 10.1007/s40626-023-00296-y

Authors: Kexin Li, Shijie Cong, Tianhong Dai, Jingzong Zhang, Jiuqing Liu

Institutions: Wuxi Vocational College of Science and Technology, Northeast Forestry University

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

Open Access status: green

Funders: Natural Science Foundation of Heilongjiang Province, Fundamental Research Funds for the Central Universities

Awards: G3757050980, G647583226