Work

MOTIA2: Technical report

Year: 2024

Type: article

Abstract: MoTIA2 is a project funded by the Valencian Institute for Business Competitiveness (IVACE) and the European Union through the European Regional Development Fund (ERDF). The main objective of this project is to propose, investigate and implement a series of Industry 4.0 techniques to be applied in the mass breeding of insects in biofactories. In particular, the focus will be on three general objectives: (a) implement high-speed classification and counting algorithms applied to the counting and classification of tiger mosquito pupae and larvae; (b) develop AI-based computer audition algorithms for the detection of sound anomalies and apply them to the detection of females in Sterile Insect Technique (SIT) release containers; (c) develop and implement AI-based computer vision algorithms for the detection and classification of mosquito eggs in still images of deployed field traps.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14258769

Author: ITI, Instituto Tecnológico de Informática

Institution: Centro Tecnológico de Investigación, Desarrollo e Innovación en tecnologías de la Información y las Comunicaciones (TIC)

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6893092723

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