Zobrazeno 1 - 10
of 1 780
pro vyhledávání: '"wavelength selection"'
Publikováno v:
Bulletin of the National Research Centre, Vol 48, Iss 1, Pp 1-8 (2024)
Abstract Background Seed vigor identification is critical to guaranteeing the quality and yield of maize. Although seeds with impaired vigor may germinate under normal conditions, planting under unfavorable conditions makes it difficult to produce he
Externí odkaz:
https://doaj.org/article/947ae47396654beda4eff2d92799fb15
Autor:
Natsuo Okada, Hiromasa Nozaki, Shinichiro Nakamura, Elsa Pansilvania Andre Manjate, Angesom Gebretsadik, Yoko Ohtomo, Takahiko Arima, Youhei Kawamura
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Arsenic contamination not only complicates mineral processing but also poses environmental and health risks. To address these challenges, this research investigates the feasibility of utilizing Hyperspectral imaging combined with machine lea
Externí odkaz:
https://doaj.org/article/25a5cc60e4014a2cbb741644f64525fd
Autor:
Xiaogang Jiang, Kang Ge, Zhi Liu, Nan Chen, Aiguo Ouyang, Yande Liu, Yuyang Huang, Jinghu Li, Mingmao Hu
Publikováno v:
Chemical and Biological Technologies in Agriculture, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Apple moldy core is a fungus-infested disease that is extremely insidious, usually occurring inside the fruit, making it very difficult to distinguish from the exterior with the naked eye. Using VIS/NIR transmission spectroscopy, this study
Externí odkaz:
https://doaj.org/article/f2038c3de5f24b7e87d38b6bb8d971b1
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 6, Pp 226-233 (2024)
Peanuts were susceptible to frost damage during harvesting, transportation, storage, and processing due to temperature and humidity changes, which could affect the quality of peanuts and their products. In order to explore the mechanism of peanut fro
Externí odkaz:
https://doaj.org/article/2742b80c880847a9b2b56921d72eb80a
Autor:
Zinabu Hailu Siyum, Tung Thanh Pham, Mai Sao Dam, Laszlo Ferenc Friedrich, Geza Hitka, Lien Le Phuong Nguyen, Laszlo Baranyai
Publikováno v:
Journal of Agriculture and Food Research, Vol 18, Iss , Pp 101476- (2024)
Plums are perishable fruit, and agriculture demands rapid nondestructive methods to be able to make decision on the storability and optimal postharvest technology. This study aimed to apply a multispectral technique utilizing selected NIR wavelengths
Externí odkaz:
https://doaj.org/article/222ad419ddf54585804a6f0cc46ef812
Publikováno v:
Sensors, Vol 24, Iss 21, p 7039 (2024)
This study used hyperspectral remote sensing to rapidly, economically, and non-destructively determine the soil iron oxide content of the Dinosaur Valley annular tectonic region of Lufeng, Yunnan Province. The laboratory determined the iron oxide con
Externí odkaz:
https://doaj.org/article/1f4431d26a7a4bdaa157e1768ec3b69a
Autor:
Wenwen Zhang, Mingxuan Pan, Peng Wang, Jiao Xue, Xinghu Zhou, Wenke Sun, Yadong Hu, Zhaopeng Shen
Publikováno v:
Foods, Vol 13, Iss 19, p 3023 (2024)
This study explored the performance and reliability of three predictive models—extreme gradient boosting (XGB), convolutional neural network (CNN), and residual neural network (ResNet)—for determining the moisture content in Porphyra yezoensis us
Externí odkaz:
https://doaj.org/article/ef509469c7894d449a187d49f9375b7d
Publikováno v:
Chemosensors, Vol 12, Iss 9, p 184 (2024)
The assessment of catechin content stands as a pivotal determinant of tea quality. In tea production and quality grading, the development of accurate and non-destructive techniques for the accurate prediction of various catechin content is paramount.
Externí odkaz:
https://doaj.org/article/52a310e9ee314e4d912d8ac7603bc4ae
Publikováno v:
Plant Methods, Vol 19, Iss 1, Pp 1-18 (2023)
Abstract Application of hyperspectral imaging (HSI) and data analysis algorithms was investigated for early and non-destructive detection of Botrytis cinerea infection. Hyperspectral images were collected from laboratory-based contaminated and non-co
Externí odkaz:
https://doaj.org/article/a818d52eee0248e296dd791f5ac26b74
Autor:
Yuwen Chen, Jia Sun, Lunche Wang, Shuo Shi, Feng Qiu, Wei Gong, Shaoqiang Wang, Torbern Tagesson
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
Leaf functional traits are key indicators of plant functions useful for inferring complex plant processes, including their responses to environmental changes. Vegetation indices (VIs) composed of a few reflectance wavelengths hold the advantages of b
Externí odkaz:
https://doaj.org/article/d127b0625120493f8a84f72292191ec1