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540 results on '"Li, Jian-Sheng"'

13. Bu-Fei Yi-Shen Granules Reduce Acute Exacerbations in Patients with GOLD 3–4 COPD: A Randomized Controlled Trial

Author

Yu, Xue-Qing, primary, Di, Jia-Qi, additional, Zhang, Wei, additional, Wei, Geng-Shu, additional, Ma, Zhan-Ping, additional, Wu, Lei, additional, Yu, Xue-Feng, additional, Zhu, Hui-Zhi, additional, Zhou, Miao, additional, Feng, Cui-Ling, additional, Feng, Ji-Hong, additional, Fan, Ping, additional, Li, Jian-Sheng, additional, and Yang, Jian-Ya, additional

Published
2023
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35. Detection of maize tassels for UAV remote sensing image with an improved YOLOX Model

Author

SONG, Chao-yu, ZHANG, Fan, LI, Jian-sheng, XIE, Jin-yi, YANG, Chen, ZHOU, Hang, and ZHANG, Jun-xiong

Abstract

Maize tassel detection is essential for future agronomic management in maize planting and breeding, with application in yield estimation, growth monitoring, intelligent picking, and disease detection. However, detecting maize tassels in the field poses prominent challenges as they are often obscured by widespread occlusions and differ in size and morphological color at different growth stages. This study proposes the SEYOLOX-tiny Model that more accurately and robustly detects maize tassels in the field. Firstly, the data acquisition method ensures the balance between the image quality and image acquisition efficiency and obtains maize tassel images from different periods to enrich the dataset by unmanned aerial vehicle (UAV). Moreover, the robust detection network extends YOLOX by embedding an attention mechanism to realize the extraction of critical features and suppressing the noise caused by adverse factors (e.g., occlusions and overlaps), which could be more suitable and robust for operation in complex natural environments. Experimental results verify the research hypothesis and show a mean average precision (mAP@0.5) of 95.0%. The mAP@0.5, mAP@0.5–0.95, mAP@0.5–0.95 (area=small), and mAP@0.5–0.95 (area=medium)average values increased by 1.5, 1.8, 5.3, and 1.7%, respectively, compared to the original model. The proposed method can effectively meet the precision and robustness requirements of the vision system in maize tassel detection.

Published
2023
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39. Enhancement of plant variety protection and regulation using molecular marker technology.

Author

XU Yunbi, WANG Bing-Bing, ZAHNG Jian, ZHANG Jia-Nan, and LI Jian-Sheng

Abstract

Plant variety protection is one of the important approaches for plant intellectual property protection. The distinctness, uniformity and stability (DUS) and essentially derived variety (EDV) are two major concepts in plant variety protection. DUS-EDV has been evaluated largely through morphological traits and pedigrees at the very beginning, to an integrated approach using morphological traits, pedigrees and molecular marker information and now to a stage largely driven by molecular diagnostics. Molecular diagnostic technology has been evolved from RFLP to SSR and SNP marker systems. The liquid SNP chip, represented by genotyping by target sequencing through capture in solution, has advantages of low cost, high flexibility in marker combinations and wide suitability for DUS-EDV evaluation across plant species. There are two important strategies in DUS-EDV evaluation, one being examined based on the analysis and comparison at the whole genome level and the other being examined at specific genomic regions for target functional loci associated with important phenotypes. Evaluation criteria should be established separately for DUS and EDV. The former can be evaluated based on the criteria constructed for specific fingerprint maps, haplo-types, unique alleles, genomic regions, target functional markers, minimum genetic homozygosity, and within-variety variation, whereas the latter can be examined by the genetic similarity between the potential EDV and check variety estimated using a large number of molecular markers evenly distributed across the genome, rather than by the number of markers. The number and the genomic coverage of molecular markers are two key factors affecting the efficiency and reliability in DUS and EDV assessment. Using only a small number of markers in such assessment will likely result in a large sampling error for the estimates. The threshold of genetic similarity required for distinguishing EDV and non-EDV can vary greatly across plant species and with the levels of plant variety protection. After reviewed the current status of plant variety protection across countries, the authors proposed that a national consultant expert committee should be established for consistent support to implement and improve DUS-EDV system, and an official database system should be constructed for public service and comparison of variety DNA fingerprint data to facilitate innovative activities in plant breeding. [ABSTRACT FROM AUTHOR]

Published
2022
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