Project Details
Description
SCOUT Mobile aims to address this need by developing, validating and demonstrating FaunaPhotonics’ (FP) existing stationary sensor technology SCOUT for mobile carrier systems, i.e. tractors and spraying machines. A new LED sensor unit will be designed, built, tested and validated under field conditions. The artificial intelligence (AI) will be adjusted to a moving environment and prepared for future integration with intelligent spraying equipment. The AI will be able to predict insect behavior and enable decision-support by transmitting ON/OFF commands real-time to pesticide sprayer nozzles sections. This has not been done before when it comes to insect monitoring/control. FP conservatively estimates the technology to save insecticide applications by 30%, amounting to 81-121 DKK/ha/year. In addition, as insect recognition is real-time, early season pest attacks can be detected with possible yields gains.
Layman's description
FaunaPhotonics (FP) har udviklet en sensorteknologi der kan detektere og identificere skadedyrene i real tid ved hjælp af kunstig intelligens (AI). Dette giver landmanden et værktøj til at vurdere, hvor og hvornår der skal sprøjtes. Formålet med projektet er at videreudvikle teknologien til brug på markredskaber, dvs. at gøre sensoren mobil og klar til sammenkobling med intelligente marksprøjter og robotter. På verdensplan findes der ikke tilsvarende løsninger. FP vil sammen med projektpartneren Aarhus Universitet, Institut for Agroøkologi (AU) Flakkebjerg foretage markforsøg og test af sensorenheden.
| Short title | SCOUT Mobile |
|---|---|
| Acronym | SCOUT |
| Status | Finished |
| Effective start/end date | 01/09/2020 → 31/12/2023 |
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