Cloud Computing
CStudy1-CH2: Infrastructure for Cloud Processing of ML Tools within SPADE Platform
IoT sensors, Edge computing, Cloud
CStudy3-CH1: Integrating Livestock Sensors, Edge Computing Data, and SPADE Livestock Cloud
Project Title: Innovative scalable platform for AI cloud processing (ISLA-AI)
National Technical University of Athens
ISLA-AI is a cloud-based platform enabling seamless AI model execution and deployment. It supports ONNX, ensuring compatibility with popular AI frameworks. Using containerbased execution, it ensures reproducible environments and efficient resource allocation. Built on Kubernetes, a widely adopted open-source container orchestration system, it dynamically scales to meet varying demands, supports diverse datasets and optional onpremises deployment, enhancing AI execution in the SPADE ecosystem.
Project Title: Autonomous UAVs for Below-Canopy Mapping and Inventory (OLYMPIAN)
VERTLINER
OLYMPIAN’s primary objective is to augment SDU’s medium drone capabilities by developing a robust SLAM and obstacle avoidance system. Point cloud data of forests is highly valuable to make educated forest management decisions and assess forest health. Current drone systems can survey the forest from above, gathering valuable data but missing critical data from below the canopy. OLYMPIAN’s advancements will enable the drone to autonomously fly below the forest canopy, collecting and assembly point clouds of the forest floor to more comprehensively map and evaluate the forest.
Project Title: Future Agriculture and Ranch Management through SENSing and AErial Drone Imaging (FARMSENSE)
FORCEDA, LDA
The FARMSENSE project answers to the requirements set by the SPADE Livestock pilot. The set of specifications, drawn in the CStudy3-CH1. Design Document involves the integration of commercial wearable sensors, SPADE ML modules, commercial UAVs, and the developed SPADE Livestock platform for improving grazing monitoring. This CStudy3-CH1 project is in line with SPADE’s vision in the Livestock sector and aims towards enhancing animal health, optimize grazing, and mitigate environmental risks. The expected outcome will offer a comprehensive and precise monitoring support set of modules to augment the existing SPADE Livestock platform functionalities of enabling proactive management and setting a new standard in livestock care and sustainability
Project Title: Autonomous UAVs for Below-Canopy Mapping and Inventory (APPA).
ROBOSURVEY, LTD
The APPA proposal aligns directly with the objectives and challenges outlined in the SPADE call for proposals. The SPADE call emphasizes the need for innovative solutions to enhance agricultural productivity, sustainability, and resilience through advanced digital technologies. Our proposal addresses these objectives by introducing optimized pathplanning algorithms for UAV swarms in agriculture. By leveraging cutting-edge technologies such as ROS2, Raspberry Pi 5, and cloud processing, our project aims to revolutionize agricultural monitoring and management, ultimately contributing to the overarching goals of the SPADE initiative. mission.
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