TECNOVA – Spain
TECNOVA is an Andalusian Technological Centre of Agricultural Industry. It is constituted as a private non-profit Foundation and integrates 125 private companies, organizations and official institutions belonging to the industry of agriculture. Tecnova carries out applied research and innovation services and offers support in the process of the implementation of innovations developed in the agricultural sector. TECNOVA has been involved in different actions with clusters and networks of different sectors of the auxiliary industry of agriculture in order to promote the adoption of innovative techniques in agriculture, guiding farmers associations, technical advisors, students and specialized departments of different private companies.
Tecnova will lead Farm-level modelling and orchestration and Pilot Studies Demonstration and Evaluation where the CoRoSect developments will be implemented in pilots in final users. Additionally, it will be in charge of Functional specifications definition and design of multipurpose end – effectors for insects sensing and manipulation.
Alba Perez
Head of industrial development area
aperez@fundaciontecnova.com
CoRoSect consortium is a diverse and dynamic network of partners, representing key players in insect farming, pure robotic science and engineering, sustainability-driven innovation practices as well as collaborative business models.
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.