Zobrazeno 1 - 10
of 463
pro vyhledávání: '"Fast detection"'
Construction of Fluorescent Probe System Based on Click-Declick Chemical Reaction for Hg2+ Detection
Publikováno v:
Shipin Kexue, Vol 45, Iss 16, Pp 255-261 (2024)
Based on the click chemical reaction between hybrid rhodamine and thiol compounds and the declick chemical reaction caused by the coordinative interaction between thiol compounds and mercury ions, a ternary system of coumarin hybrid rhodamine probe,
Externí odkaz:
https://doaj.org/article/8a18d3d55eca4a769ccf8c4ea445799f
Autor:
Yi Lu, Linjie Nie, Xinyu Guo, Tiantian Pan, Rongqin Chen, Xunyue Liu, Xiaolong Li, Tingqiang Li, Fei Liu
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 282, Iss , Pp 116704- (2024)
Hyperaccumulators are the material basis and key to the phytoremediation of heavy metal contaminated soils. Conventional methods for screening hyperaccumulators are highly dependent on the time- and labor-consuming sampling and chemical analysis. In
Externí odkaz:
https://doaj.org/article/9f78c16ce327469d88c10f9744bc2b17
Autor:
Xiangyang Sun
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionEfficiently and precisely identifying tomatoes amidst intricate surroundings is essential for advancing the automation of tomato harvesting. Current object detection algorithms are slow and have low recognition accuracy for occluded and s
Externí odkaz:
https://doaj.org/article/5d7fc06229494c46b22f28cf7da19ade
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 1, Pp 113-119 (2024)
Based on the fast detection of mycotoxins and heavy metals in grain by each storage enterprise of Beijing reserve grain, the real-time migration of monitoring data is realized by adopting the B/S architecture, terminal WEB browser, and using the wire
Externí odkaz:
https://doaj.org/article/b3614b2d372d4b2cb8394a56c5dabb7e
Publikováno v:
能源环境保护, Vol 37, Iss 4, Pp 12-19 (2023)
In recent years,various emerging contaminants have caused serious threats to the ecological environment,organisms, and human health due to their potential toxicity, which have attracted more and more attention by researchers. Although traditional det
Externí odkaz:
https://doaj.org/article/97db2ff6835e4f0caf96115cac70edf2
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Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6294-6305 (2022)
Hyperspectral anomaly detection aims to fast and credibly find nontrivial candidate targets without prior knowledge, which has become an increasingly pressing need as imagery swath and resolution are growing rapidly. Relevant state-of-the-art learnin
Externí odkaz:
https://doaj.org/article/a02f3c880e7c429c82a1723a9a771e25
Autor:
Aleksey Osipov, Vyacheslav Shumaev, Adam Ekielski, Timur Gataullin, Stanislav Suvorov, Sergey Mishurov, Sergey Gataullin
Publikováno v:
IEEE Access, Vol 10, Pp 28885-28894 (2022)
Detecting sugar beetroot crops with mechanical damage using machine learning methods is necessary for fine-tuning beet harvester units. The Agrifac HEXX TRAXX harvester with an installed computer vision system was investigated. A video camera (24 fps
Externí odkaz:
https://doaj.org/article/e47bcd52774e45799c31029dc629ba23