EurekAlert!

AI-powered image generation sharpens accuracy in crop disease severity assessment

A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf disease severity, a key step toward precision agriculture.
GitHub

Validate feasibility of supporting new attribute types

Investigate whether it is possible and acceptable to extend the OTel Python API and SDK with new attribute types. Guidelines for evolving API/SDK: https://github.com ...
IEEE

Validation of Remotely Sensed Evapotranspiration Products Using Optical–Microwave Scintillometer Flux Measurements Over the Heterogeneous Surfaces

Abstract: Accurate estimates of terrestrial evapotranspiration (ET) are critical for regional drought monitoring and water resources management. Various remotely sensed evapotranspiration (RS_ET) ...
GitHub

Run failed: [vllm] Error: PluginInvokeError: {"args":{},"error_type":"ValidationError","message":"1 validation error for ModelInvokeLLMRequest\nprompt_messages.content.type\n ...

mistralai/Mistral-Small-3.1-24B-Instruct-2503: VLLM_ATTENTION_BACKEND=FLASHINFER CUDA_VISIBLE_DEVICES=2,3,5,6 nohup vllm serve mistralai/Mistral-Small-3.1-24B ...
IEEE

Robust Multimodal Remote Sensing Image Matching Using Edge Consistency Scale-Space and Significant Relative Response

Abstract: Multimodal remote sensing images (MRSIs) often suffer from severe nonlinear radiation distortions (NRDs) and significant geometric distortions, making precise matching challenging. We ...