IAPSI
Artificial intelligence and automation applied to high value-added sustainable products derived from insects

Description
The IAPSI project focuses on the experimental development of an intelligent system capable of providing a centralised automatic feeding and management solution for the industrial-scale production of fattening black soldier fly larvae. Controlled by an AI algorithm and adjusted according to environmental parameters throughout the rearing cycle, it offers a highly precise automated process control and feeding system.
With IAPSI, the consortium aims to revolutionise black soldier fly larvae production, making it more efficient, sustainable, and economically viable, with wide-reaching implications for waste management, agriculture (biofertilisers), and the sustainable production of feed based on novel insect-derived proteins.
Objectives:
- Design and develop an advanced monitoring and traceability system using sensor technology and computer vision techniques.
- Optimize the breeding conditions of black soldier fly larvae through AI-based tools.
- Design, develop, and implement a precision feeding and watering system for the growth and fattening process of black soldier fly larvae.
- Research new applications for the reuse and valorization of by-products.
- Reduce the environmental footprint of the breeding process, including water footprint and carbon footprint.
- Maximize the impact of the project and its results through an appropriate communication, dissemination, and exploitation strategy.
Consortium
Leader: Alternative Fats and Proteins of Galicia, S.L.U.
Partners: Universidade da Coruña, ITG



