A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.
Abstract: The rapid acquisition of remote sensing information plays a significant role in the development of image semantic segmentation methods for remote sensing image interpretation applications.
Abstract: Using semantic segmentation networks to intelligently categorize remote sensing images (RSIs) is essential for urban planning, land use, and environmental monitoring. However, the complexity ...
When I connect MCP to Semantic Kernel, MCP has a feature called 'progress' which can be used to show the progress of tool execution. Does Semantic Kernel (particularly the Python implementation) ...
It seems the Semantic Kernel Vertex AI connector in Python does not support public image URIs; it only supports base64 data. I tested the same image and model ...
Introduction: Weeds compete with crops for water, nutrients, and light, negatively impacting maize yield and quality. To enhance weed identification accuracy and meet the requirements of precision ...
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