Results 131 to 140 of about 35,627 (298)
Abstract The United Nations Sustainable Development Goals (UN SDGs) were defined to improve the quality of life of the global population particularly regarding social and economic aspects, with a major focus on environmental sustainability. The incorporation of digital technologies into the agri‐food sector has become a key enabler in increasing the ...
Daniel Cozzolino, Louwrens C Hoffman
wiley +1 more source
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery. [PDF]
Tagliabue G +11 more
europepmc +1 more source
Desertification Risk: Bibliometric Analysis and Future Research Directions
ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam +5 more
wiley +1 more source
Potential of Snapshot-Type Hyperspectral Imagery Using Support Vector Classifier for the Classification of Tomatoes Maturity. [PDF]
Cho BH, Kim YH, Lee KB, Hong YK, Kim KC.
europepmc +1 more source
Bathymetry from hyperspectral imagery
This work used hyperspectral imagery to derive shallow water depth estimates. A technique to classify substrates and estimate reflectance values for the substrate types is the major contributions of this work. This was accomplished by masking different bottom types based on spectra, effects that were not included in previous methods.
openaire +1 more source
Abstract Imaging Pulse Amplitude Modulation (PAM) fluorometry allows spatially resolved measurements of Photosystem II (PSII) fluorescence kinetics through time without disturbing study organisms or their environments. In particular, the use of photosynthesis–irradiance curves (P–I curves) provides detailed information on PSII quantum efficiency ...
B. Jesus, P. Cartaxana, C. Williamson
wiley +1 more source
The paradigm shift brought by deep learning in land cover object classification in hyperspectral images (HSIs) is undeniable, particularly in addressing the intricate 3D cube structure inherent in HSI data. Leveraging convolutional neural networks (CNNs),
Touhid Islam +3 more
doaj +1 more source
Classification of Toona sinensis Young Leaves Using Machine Learning and UAV-Borne Hyperspectral Imagery. [PDF]
Wu H +5 more
europepmc +1 more source
Mid‐Infrared Integrated Photonics: Material Platforms and Emerging Applications
Mid‐infrared (MIR) integrated photonics enables advanced chemical and biological sensing through the unique absorption features of molecules in the 2–20 µm range. This review highlights recent material advances such as chalcogenide glasses, silicon, and graphene and explores MIR applications in environmental monitoring, medical diagnostics ...
Muhammad Ali Butt +2 more
wiley +1 more source
The synergic approach between machine learning, chemometrics, and NIR hyperspectral imagery for a real-time, reliable, and accurate prediction of mass loss in cement samples. [PDF]
Diane A, Saffaj T, Ihssane B, Rabie R.
europepmc +1 more source

