Results 221 to 230 of about 57,062 (333)
Food Science &Nutrition, Volume 14, Issue 1, January 2026.A comprehensive dataset of wheat crop images, including healthy plants and samples affected by YR and BR diseases, was developed from public sources. A Convolutional Neural Network (CNN) model was trained and optimized for accurate detection and classification of wheat diseases.
Nergis Gulzar Abbasi +7 more
wiley +1 more source
GroupFormer for hyperspectral image classification through group attention. [PDF]
Sci RepKhan R +7 more
europepmc +1 more source
Black Plastic Identification for Sorting and Recycling With Deep‐UV Raman Spectroscopy
Journal of Raman Spectroscopy, Volume 57, Issue 1, Page 70-79, January 2026.We present a deep ultraviolet (DUV) Raman spectrometer for sorting black plastics in recycling. The common identification modality of hyperspectral NIR struggles with black plastics due to strong absorption by the black pigment. By using a 248.6‐nm NeCu laser, we enable stand‐off detection over a conveyor belt while avoiding fluorescence interference ...
Liron Zada, Freek Ariese
wiley +1 more source
Urban classification by multi-feature fusion of hyperspectral image and LiDAR data
, 2019 Qiong Cao +5 more
openalex +2 more sources
Gaussian mixture model and Markov random fields for hyperspectral image classification [PDF]
, 2018 Hamid Ghanbari +3 more
openalex +1 more source
Limnology and Oceanography: Methods, Volume 24, Issue 1, January 2026.Abstract The inverse problem in remote sensing of aquatic environment consists in retrieving optically significant constituents (OSCs) from a spectral measurement of the remote sensing reflectance (Rrs).Optically significant constituent includes chlorophyll a concentration (Chl a), a proxy of phytoplankton biomass, absorption of colored detrital matter
Soham Mukherjee +2 more
wiley +1 more source
Progress in Photovoltaics: Research and Applications, Volume 34, Issue 1, Page 116-131, January 2026.Machine learning (ML) enables fast and reliable prediction of series resistance and dark saturation current maps from voltage‐dependent electroluminescence of silicon solar cells. Two ML algorithms, a multilayer perceptron (MLP) and a modified U‐NET (mU‐NET), are analyzed. They are compared to nonlinear least squares fitting to assess their performance.
Erell Laot +3 more
wiley +1 more source
Bidirectional Mamba with Dual-Branch Feature Extraction for Hyperspectral Image Classification. [PDF]
Sensors (Basel)Sun M, Zhang J, He X, Zhong Y.
europepmc +1 more source
Segment Anything Model-Based Hyperspectral Image Classification for Small Samples [PDF]
Kaifeng Ma +6 more
openalex +1 more source
A Generalized Concept for Clustering Capabilities of Weeding Robots
Journal of Field Robotics, Volume 43, Issue 1, Page 49-62, January 2026.ABSTRACT Agriculture is undergoing a significant transformation process with the help of robots. Weeding robots have made their way into the market, and they play a crucial role in automating the weeding process in the field. This study introduces a generalized concept of autonomy levels for currently available weeding robots in the field as well as a ...
Stefan Paulus +4 more
wiley +1 more source