Results 171 to 180 of about 49,483 (287)

Double-branch feature fusion transformer for hyperspectral image classification. [PDF]

Sci Rep, 2023
Dang L, Weng L, Hou Y, Zuo X, Liu Y.
europepmc   +1 more source

Generative Artificial Intelligence Shaping the Future of Agri‐Food Innovation

AgriFood: Journal of Agricultural Products for Food, Volume 2, Issue 1, Page 23-29, March 2026.
Emerging use cases of generative artificial intelligence in agri‐food innovation. ABSTRACT The recent surge in generative artificial intelligence (AI), typified by models such as GPT, diffusion models, and large vision‐language architectures, has begun to influence the agri‐food sector.
Jun‐Li Xu, Dimitrios Argyropoulos, Tamíris da Costa   +2 more
wiley   +1 more source

Correction: A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification. [PDF]

Sci Rep
Sangeetha V, Agilandeeswari L.
europepmc   +1 more source

Multi-Scale Superpixel-Guided Structural Profiles for Hyperspectral Image Classification. [PDF]

Sensors (Basel), 2022
Wang N, Zeng X, Duan Y, Deng B, Mo Y, Xie Z, Duan P.   +6 more
europepmc   +1 more source

The progressive modernization of cassava breeding programs at International Institute of Tropical Agriculture and future prospects

Crop Science, Volume 66, Issue 2, March/April 2026.
Abstract Modernizing cassava breeding programs (CBPs) is critical to increase genetic gain, close the yield gap, and ensure food availability, accessibility, and affordability to support livelihood transformation and economic development in sub‐Saharan Africa (SSA).
Edwige Gaby Nkouaya Mbanjo, Afolabi Agbona, John Derera, Alick Mulenga, Ibnou Dieng, Béla Teeken, Hapson Mushoriwa, Jim Lorenzen, Chiedozie Egesi, Peter Kulakow, Ismail Yusuf Rabbi   +10 more
wiley   +1 more source

EchoMamba: A new Mamba model for fast and efficient hyperspectral image classification. [PDF]

PLoS One
Zhang Y, Jin X, Zhang X, Wu Y, Tu L.
europepmc   +1 more source

An Effective Hyperspectral Image Classification Network Based on Multi-Head Self-Attention and Spectral-Coordinate Attention. [PDF]

J Imaging, 2023
Zhang M, Duan Y, Song W, Mei H, He Q.
europepmc   +1 more source

Remote sensing and machine learning models to assess and predict turfgrass performance and soil water stress under deficit irrigation for creeping bentgrass

Crop Science, Volume 66, Issue 2, March/April 2026.
Abstract Turfgrass management faces challenges related to water scarcity, making it essential to explore innovative technologies, such as remote sensing and machine learning (ML), to monitor turf quality (TQ) and soil moisture levels effectively. The objective of this study was to develop ML models using unmanned aerial vehicle and imagery technology ...
Haoguang Yang, Devan Gladden, Stephanie Rossi, Bingru Huang   +3 more
wiley   +1 more source

Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification. [PDF]

Sci Rep
Arshad T, Peng B, Rahman A, Khan R, Khan SU, Alnazi S, Alturki N.   +6 more
europepmc   +1 more source

A Hyperspectral Image Classification Method Based on the Nonlocal Attention Mechanism of a Multiscale Convolutional Neural Network. [PDF]

Sensors (Basel), 2023
Li M, Lu Y, Cao S, Wang X, Xie S.
europepmc   +1 more source