On the front of economic sustainability, CoRoSect will enable both large and small insect farms to scale up their output and so create new employment prospects as well as whole new markets as this industry is currently practically non-existent in Europe. Without a doubt, the project’s greatest effects will be felt in the areas of environmental sustainability and food scarcity. More effective use of land and water, as well as the reduction of organic waste and the achievement of reduced greenhouse gas emissions, will be attainable if the edible insects’ industry operates at full capacity. The solutions’ scalability and resilience would enable addressing the issue of food security while considering projections for both human and livestock expansion.
Since handling insects calls for especially precise movements, farming other breeds can also benefit from the use of robotics and other technological advancements. In fact, CoRoSect will construct an advanced human-robot working environment that will greatly increase the productivity of contemporary insect farms. The system will substitute several time-consuming, costly, dangerous, and laborious duties involved in treating insects at different phases of their life cycles with robotic-based, automatic processes. As a result, production will rise, and production costs will drop significantly.
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CoRoSect is developing a novel Cognitive Robotic System for Digitalized and Networked (Automated) Insect Farms. We bring leading-edge robotics, AI, and some of the best experts in our industry - to help embrace automation and wave goodbye to the monotonous and mundane tasks.
Dr. Rico Möckel
Maastricht University
Department of Data Science and Knowledge Engineering (DKE)
Paul Henri Spaaklaan 1
6229EN Maastricht
The Netherlands
Tel.: +31433883482
rico.mockel@maastrichtuniversity.nl
Prof. Dr. Mladen Radišić
CEO Foodscale Hub
Narodnog fronta 73
21000 Novi Sad
Serbia
Tel.: (+381) 21 300 8023
mladen@foodscalehub.com
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101016953.