Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Tingyu Lu"'
Publikováno v:
Ecology and Evolution, Vol 14, Iss 5, Pp n/a-n/a (2024)
Abstract Ground‐dwelling invertebrates are vital for soil biodiversity and function maintenance. Contemporary biodiversity assessment necessitates novel and automatic monitoring methods because of the threat of sharp reductions in soil biodiversity
Externí odkaz:
https://doaj.org/article/21d204ffd2b7416db7a1abefd1e0b28b
Publikováno v:
Environment International, Vol 190, Iss , Pp 108868- (2024)
As alternatives of perfluorooctanoic acid (PFOA), hexafluoropropylene oxide dimeric acid (HFPO-DA) and trimeric acid (HFPO-TA) have been detected increasingly in environmental media and even humans. They have been shown to exhibit reproductive toxici
Externí odkaz:
https://doaj.org/article/5e43a1d99bec46f3b2dccb7dff2c2335
Open farmland is a hotspot of soil fauna community around facility farmland during a cold wave event
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 7 (2023)
In the future, the frequency, duration, and intensity of extreme weather may increase, thus posing a threat to soil biodiversity in farmlands, particularly in agricultural production bases. However, little is known about the effect of cold wave event
Externí odkaz:
https://doaj.org/article/5526f5dc8d0a4b739beac5e8ecbd4608
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
The great success of deep learning in the field of computer vision provides a development opportunity for intelligent information extraction of remote sensing images. In the field of agriculture, a large number of deep convolutional neural networks h
Externí odkaz:
https://doaj.org/article/9cd2d7d2a32a41fa93bd7ca34a55c8b6
Publikováno v:
Forests, Vol 15, Iss 1, p 218 (2024)
Optical remote sensing data are widely used for constructing soil organic carbon (SOC) mapping models. However, it is challenging to map SOC in forested areas because atmospheric water vapor affects the results derived from optical remote sensing dat
Externí odkaz:
https://doaj.org/article/50bc55ccd7e8484691cfa3bfd8fd39c3
Publikováno v:
Insects, Vol 15, Iss 1, p 27 (2024)
We evaluated the hourly dynamics of ground-dwelling invertebrate communities in farmland using infrared camera traps between August and September 2022. No significant variations within 24 h nor between any two time points of each day were observed in
Externí odkaz:
https://doaj.org/article/44b394f2c4844c128e1e7f80018fb8be
Publikováno v:
Sensors, Vol 23, Iss 15, p 7008 (2023)
Using remote sensing images to identify crop plots and estimate crop planting area is an important part of agricultural remote sensing monitoring. High-resolution remote sensing images can provide rich information regarding texture, tone, shape, and
Externí odkaz:
https://doaj.org/article/c0cab2e7b45b44aab163336ec49fc96d
Publikováno v:
SmartMat, Vol 2, Iss 4, Pp 591-602 (2021)
Abstract Rational design of low‐cost and high‐efficiency non‐precious metal‐based catalysts toward the hydrogen evolution reaction (HER) is of paramount significance for the sustainable development of the hydrogen economy. Interfacial manipul
Externí odkaz:
https://doaj.org/article/6a9059b74dc0488f820dadbb0fb6ae1d
Publikováno v:
Sensors, Vol 23, Iss 11, p 5288 (2023)
High-precision land cover maps of remote sensing images based on an intelligent extraction method are an important research field for many scholars. In recent years, deep learning represented by convolutional neural networks has been introduced into
Externí odkaz:
https://doaj.org/article/605b5b17d7214cd38408fb7482608157
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Mapping the crop type can provide a basis for extracting information on crop planting structure, and area and yield estimation. Obtaining large-scale crop-type mapping by field investigation is inefficient and expensive. Traditional classification me
Externí odkaz:
https://doaj.org/article/f8a9346793fb4291be01b96071d98550