Results 121 to 130 of about 9,036 (210)

Attention and Geological Knowledge Guided Spectral‐Spatial Networks for Geochemical Anomalies Recognition

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Achieving both accuracy and interpretability in deep learning models for geochemical anomaly recognition constitutes a significant challenge. To overcome this challenge, this study developed a novel interpretable dual‐branch network combining a spectral attention bidirectional RNN (BiRNN) branch and a spatial attention CNN branch guided with ...
Yihui Xiong   +4 more
wiley   +1 more source

Spectral response of guava leaves under infestation by Costalimaita ferruginea (coleoptera: Chrysomelidae)

open access: yesAgricultural and Forest Entomology, Volume 28, Issue 3, Page 398-409, August 2026.
Coccinellidae (Coleoptera), Miridae (Hemiptera), Hemerobiidae (Neuroptera), Pentatomidae (Hemiptera), Anystidae (Acari), Erythraeidae (Acari) and spiders (Araneidae, Oxyopidae and Salticidae) fed on the invasive paropsine leaf beetles in Marlborough, New Zealand.
Souradji I. Bachirou   +2 more
wiley   +1 more source

Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation

open access: yesJournal of Integrative Plant Biology, Volume 68, Issue 8, Page 2340-2352, August 2026.
This review synthesizes applications of AI and robotics for germplasm characterization and breeding, proposing the Breeding 5.0 framework with its “Breeding Flywheel”. By decoding germplasm's multidimensional architecture, AI drives data‐empowered automation cycles to accelerate germplasm innovation, redefining solutions for global food security ...
Jiayi Fu   +4 more
wiley   +1 more source

Automatic Kiwifruit Segmentation From Terrestrial LiDAR Point Clouds for Precision Agriculture

open access: yesTransactions in GIS, Volume 30, Issue 5, August 2026.
ABSTRACT With the advancement of automation in agriculture, the determination of the health status of fruits, yield estimation, and the realization of automated harvesting have become critical applications in precision agriculture. In this context, accurate extraction of the spatial information of fruits plays a vital role.
Mustafa Dihkan   +3 more
wiley   +1 more source

Contrasting the TEMPO and TROPOMI Views of Tropospheric NO2: Implications for Diurnal Variability and Model Evaluation

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 14, 28 July 2026.
Abstract Nitrogen dioxide (NO2) is a key indicator of unhealthy air, yet its sub‐daily spatiotemporal variability has not been widely characterized across large spatial scales in North America. Tropospheric Emissions: Monitoring of Pollution (TEMPO), a geostationary hyperspectral UV‐Vis instrument, offers up to 12 hourly observations per location ...
Daniel L. Goldberg   +7 more
wiley   +1 more source

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