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Kexin Yang, Yunhai Yang, Xiaohan Wu, Fengping Zheng, Gaofeng Xu, Shaosong Yang, Guimei Jin, David Roy Clements, Shicai Shen and Fudou Zhang
Acmella radicans (Jacquin) R.K. Jansen is a new invasive species recorded in Yunnan Province, China, and little is known about its allelopathic potential and allelochemicals. In this study, the allelopathic effects of the essential oil (EO) of A. radican...
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Dinghui Xu, Teng Xiong, Wenbin Lu, Jinsheng Zhao, Zhenqian Zhang and Gang Xiao
Weed infestation has seriously affected the yield and quality of rapeseed, which is a globally significant oil crop. While the application of chemical herbicides in agriculture has greatly boosted agricultural efficiency and crop yield, it has also unfor...
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Pedro Celard, Adrián Seara Vieira, José Manuel Sorribes-Fdez, Eva Lorenzo Iglesias and Lourdes Borrajo
In this study, we propose a novel Temporal Development Generative Adversarial Network (TD-GAN) for the generation and analysis of videos, with a particular focus on biological and medical applications. Inspired by Progressive Growing GAN (PG-GAN) and Tem...
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Ángel Rodríguez Pallas,Ana Montoya Reyes,Carlota Lorenzo Pérez
This article's primary goal is to examine COVID-19's effects and changes on how retail travel agencies operate in A Coruña (Spain). The current study investigates past health crises, their impact, and the actions taken by the city's retail agencies in or...
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Yunhong Li, Yuandong Bi, Weichuan Zhang, Jie Ren and Jinni Chen
An image edge detection algorithm using multi-directional and multi-scale Gabor filters is proposed in this paper. The main merit of this method is that high edge detection accuracy can be obtained while maintaining noise robustness. The approach propose...
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Mohammad H. Nadimi-Shahraki, Zahra Asghari Varzaneh, Hoda Zamani and Seyedali Mirjalili
Feature selection is an NP-hard problem to remove irrelevant and redundant features with no predictive information to increase the performance of machine learning algorithms. Many wrapper-based methods using metaheuristic algorithms have been proposed to...
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Xintao Yuan, Xiao Zhang, Nannan Zhang, Rui Ma, Daidi He, Hao Bao and Wujun Sun
Rapid and non-destructive estimation of the chlorophyll content in cotton leaves is of great significance for the real-time monitoring of cotton growth under verticillium wilt (VW) stress. The spectral reflectance of healthy and VW cotton leaves was dete...
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Krishan Kaushik, Robert W. Pal, Katalin Somfalvi-Tóth, Riyazuddin Riyazuddin, Kinga Rudolf and Tamás Morschhauser
Understanding the invasion potential of any plant species is crucial for early detection in habitat conservation, particularly when observing their expansion within their native region. As a test species, we utilised Allium ursinum L., a dominant clonal ...
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Jing Han, Junxian Guo, Zhenzhen Zhang, Xiao Yang, Yong Shi and Jun Zhou
Herein, we propose a new method based on Fourier-transform near-infrared spectroscopy (FT-NIR) for detecting impurities in seed cotton. Based on the spectral data of 152 seed cotton samples, we screened the characteristic wavelengths in full-band spectra...
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Kerdkiat Suvirat, Detphop Tanasanchonnakul, Sawrawit Chairat and Sitthichok Chaichulee
Medical coding plays an essential role in medical billing, health resource planning, clinical research and quality assessment. Automated coding systems offer promising solutions to streamline the coding process, improve accuracy and reduce the burden on ...
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