Enhancing Indoor Food Production through AI-supported Industrial IoT: The AIMS5.0 Project, UC11

The EU-funded AIMS5.0 project is at the forefront of advancing Artificial Intelligence in Manufacturing leading to Sustainability and Industry 5.0. This project addresses the vulnerabilities of existing supply chains by promoting shorter, more localized production processes and integrating AI technologies to bolster sustainability and competitiveness within European industries. The transition from Industry 4.0 to Industry 5.0 by AIMS5.0 includes leveraging the Internet of Things, semantic web ontologies, machine learning, and artificial intelligence to enhance working conditions and eco-friendly manufacturing

practices.

In the AIMS5.0 project, Use Case 11 (UC11) focuses on AI-supported Industrial IoT for Indoor Food Production, aiming to optimize the cultivation process using advanced technologies. This includes the deployment of a cloud-based edge computing platform

where workloads are integrated to manage multiple services, linking them for enhanced operation. A multi-protocol data gateway is implemented to facilitate real-time data

acquisition from sensors and control of actuators, streamlining interactions with the physical environment.

A NLP pipeline is developed to enhance data utilization, consisting of several stages:

data gathering from literature on Indoor Vertical Farming, text preprocessing, and a training phase employing transformer and knowledge graph approaches. These steps are designed to extract actionable insights and streamline information processing.

AI-based mechanisms process collected vision data and automatically assess plant health and size but also ensure reliable and efficient wireless communication security.

This involves setting up an AI-powered cross-domain communication gateway and constructing a dedicated testbed with switched beam antenna and Bluetooth transmitters

for initial testing and data collection.

Security and compliance are also crucial components of UC11, with efforts directed towards developing a threat model for Industrial AI applications. This model assesses systems for

security and compliance with critical Cybersecurity Regulations like the CRA, ensuring that the innovative solutions are both secure and aligned with regulatory standards.

Through these initiatives, UC11 of the AIMS5.0 project aims to reduce manufacturing costs, enhance product quality, shorten time-to-market, and increase user acceptance

of technological innovations, thus bolstering production efficiency and sustainability in indoor food production within European industries.