We use cookies on our website. Some are necessary for the operation of the website. You can also allow cookies for statistical purposes. You can adjust the data protection settings or agree to all cookies directly.
Data Protection Declaration
Imprint
Collaborative project: Digitalization of land-based shrimp farming in Germany using AI-based evaluation of imaging and acoustic systems - subproject A (MonitorShrimp)
Project
Project code: 281C213A19
Contract period: 01.01.2021
- 31.12.2022
Budget: 307,074 Euro
Purpose of research: Applied research
Keywords: husbandry techniques, animal health, data management, aquaculture, other aquatic organisms, digital world, AI Artificial Intelligence, animal welfare
The goal of MonitorShrimp is to digitally record and evaluate the behavior of shrimps (Litopenaeus vannamei) in order to significantly increase animal welfare, animal health and operational safety in land-based breeding. MonitorShrimp will conserve resources, substantially increase the efficiency of shrimp production and improve its profitability. The targeted innovation from MonitorShrimp is a digital technology that uses artificial intelligence (AI) to analyze in real time the data from specially installed cameras and hydrophones as well as standard sensors for water quality in land-based breeding systems for shrimp. It is able to inform the farmer at any time about the actual biomass of its system and its condition. The technology will enable qualitative and quantitative assessments of the condition of the entire livestock population via detection algorithms for image and sound, an analysis algorithm that compares the metadata with a database on shrimp behavior and biology, and via an interface provide the data for interpretation to the breeder on a smartphone / tablet or computer. This continuous monitoring, allows the farmer for the first time to operate, feed and take other necessary measures based on the actual biomass and its condition. This will increase animal welfare, improve animal health, increase feed and protein efficiency by 25-30%, reduce wastewater pollution with nutrients and the amount of solid waste generated by at least 20%, thus reducing the ecological footprint and conserving resources. At the same time, the efficiency of production is significantly increased, since a higher yield is achieved with the same or less use of funds. The development of MonitorShrimp thus leads to a paradigm shift in land-based shrimp breeding.
Section overview
Subjects
- Recirculation systems
- Mariculture
Framework programme
Funding programme
Excutive institution
Alfred Wegener Institute for Polar and Marine Research (AWI)
Funding institution
Project management agencies
Associated projects: MonitorShrimp
- Collaborative project: Digitalization of land-based shrimp farming in Germany using AI-based evaluation of imaging and acoustic systems - subproject B
- Collaborative project: Digitalization of land-based shrimp farming in Germany using AI-based evaluation of imaging and acoustic systems - subproject C
