The project "Multimodal Lightweight and Explainable AI for Plant Health Diagnostics and Evidence-Linked Decision Support" (MLXAI-Plant) will develop a multimodal large language model capable of…
Autonomous driving has made significant progress in recent years, particularly in good visibility and lighting conditions. However, night-time environments continue to pose a major challenge, as…
AMENABLE addresses a fundamental challenge in AI-driven environment monitoring: the gap between the informal, task-specific concept hierarchies typical of robotics and sensor systems, and the formal,…
The AdAgriSpray project is developing AI-supported sensor technology for the adaptive control of pesticide and fertilizer applications in agriculture, particularly for the protection of water bodies.…
The goal of the project "VisionAdapt - Imaging Shavings Shape Detection for the Automation of High Dynamic Turning Processes using Process Adaptation" is the technology transfer of autonomous…
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