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
Semantic Segmentation of Hyperspectral Remote Sensing Images Based on PSE-UNet Model. [PDF]
Li J, Wang H, Zhang A, Liu Y.
europepmc +1 more source
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
Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods. [PDF]
Zhang M +7 more
europepmc +1 more source
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
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
Initial Performance Analysis of the At-Altitude Radiance Ratio Method for Reflectance Conversion of Hyperspectral Remote Sensing Data. [PDF]
DeCoffe LJR +5 more
europepmc +1 more source
Automatic Kiwifruit Segmentation From Terrestrial LiDAR Point Clouds for Precision Agriculture
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
Abnormal Target Detection Method in Hyperspectral Remote Sensing Image Based on Convolution Neural Network. [PDF]
Liu Y, Liu JB.
europepmc +1 more source
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
Epidemic of Wheat Stripe Rust Detected by Hyperspectral Remote Sensing and Its Potential Correlation with Soil Nitrogen during Latent Period. [PDF]
Chen J, Saimi A, Zhang M, Liu Q, Ma Z.
europepmc +1 more source

