AquacultuER4.0

Precision farming in aquaculture for water quality monitoring

Description

The University of Ferrara has developed an innovative system based on a network of sensors for the monitoring of water quality at fish and mussel farming sites. The system provides aquaculture operators with real-time information about the onset of critical situations through a dedicated mobile app. The aquaculture monitoring system records and stores all measured data, and provides fishers with relevant information on aquaculture facilities, allowing them to make informed farming decisions.

Technology

  • Mobile app
  • Desktop/web-based application
  • Remote sensing
  • GPS
  • Sensor
  • Internet of things (IoT)
  • Cloud
  • Artificial intelligence (AI)

The monitoring system is based on an integrated sensor network for the monitoring of water quality at farming sites installed with several sensors that provide environmental data. The sensor network is mobile, GPS-controlled, and runs on solar panels, which makes it operational in zones where access to power is limited or absent. The information is collected continuously and stored on a dedicated Cloud server. Water quality is assessed based on the parameters of dissolved oxygen, temperature, pH, conductivity, salinity, oxidation-reduction potential, ammonia, nitrites, chlorophyll, turbidity, etc., and the data are analysed using mathematical algorithms. Users can monitor aquaculture facilities in real time through a control dashboard that is customizable to meet various needs, while a mobile app informs users about the onset of any critical situation and the need for intervention.

Target

  • Smallholder farmers
  • Medium size farms
  • Large size farms

The sensor network has been fully developed and tested in labs under experimental conditions. The system was first put into operation in three small to medium fisheries in Valle Canneviè, Goro’s lagoon and Valle Fattibello and the sensor networks were tested for one month, after which the fishery operators provided feedback on both the hardware and software. The developers claim that the solution has been created to meet the precise needs of smallholder fish farmers as a user-friendly, robust solution that facilitates their everyday operations.

Business model

  • Donor support

The development of the sensor network was funded by the European project SmartAgriHubs. As of January 2023, the system is still to be commercialized.

Impact

The digitalization of aquaculture through innovative ICTs can increase the competitiveness and quality of the end product and improve the production process. This precision aquaculture system facilitates fishers in reacting to sudden changes in water quality and other emergencies. This precision aquaculture approach, by applying the control principles, can enable end-users to certify environmental conditions to meet the demands of a market that is sensitive to product provenance and sustainable fish and shellfish farming practices. It supports aquaculture businesses in being sustainable and ensures their compliance with industry and government regulations.

Partners

Nordi, Bellini; Naturedulis; San Giuseppe Cfp Cesta; Impresa Verde (Coldiretti); University of Parma Dnaphone, Aster.

Four Betters

  • Better production
  • Better environment

Sustainable Development Goals

  • SDG 12: Responsible consumption and production
  • SDG 13: Climate action
  • SDG 14: Life below water
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