Periodic Reporting for period 1 - BeeOimpact (From Bees as a Service (BaaS) to Software as a Service (SaaS) to enhance biodiversity and reduce pollution)
Okres sprawozdawczy: 2023-03-01 do 2024-01-31
BeeOimpact platform (incl. BeeOmonitoring and BeeOgarden mobile app) is a unique SaaS solution using the bee ecosystem to extract valuable biodiversity data and metrics. Domestic bees forage 4 bn flowers on a circular surface of 700ha/colony. They gather pollen from these flowers and bring them back in the beehive. We collect pollen samples daily via a device placed outside the hive. As pollen samples capture air and part of soil pollutants and contain plants’ DNA, we will analyze this data (we already have 10yrs of aggregated data) to feed the AI platform.
BeeOimpact will provide an assessment of a site, with just 1 click, without having to analyse the samples coming from each site, via AI, expert systems, data mining, machine Learning and deep Learning techs,
insights on the level and origin of poorly monitored pollutants and plant diversity level/quality.
BeeOimpact will provide an assessment of a site, with just 1 click, without having to analyse the samples coming from each site, via AI, expert systems, data mining, machine Learning and deep Learning techs,
insights on the level and origin of poorly monitored pollutants and plant diversity level/quality.
• developed a Smart beehive solution, integrating various sensors to monitor additional environmental parameters
• currently testing a computer vision model and hardware to automatically detect pollen, ie flora
• developing a mobile app to empower citizens to map and improve the local biodiversity
• developing an ML/AI powered risk assessment and action-oriented platform, correlating our 10 years of data with additional datasets/layers and models.
• currently testing a computer vision model and hardware to automatically detect pollen, ie flora
• developing a mobile app to empower citizens to map and improve the local biodiversity
• developing an ML/AI powered risk assessment and action-oriented platform, correlating our 10 years of data with additional datasets/layers and models.
- Version #1 of biodiversity and risk assessment platform, with AI models, tested with various users (+2,000 sites analysed)
- Development of a successful pollen identification model
- Version #1 of gardening app tested with users
- Smart hive device collecting on-site data.
Key needs
- Further research needed for biodiversity & pollution risk assessment models
- Industrialisation of pollen recognition & smart hive devices
- Commercialisation of the devices and platforms
- Development of a successful pollen identification model
- Version #1 of gardening app tested with users
- Smart hive device collecting on-site data.
Key needs
- Further research needed for biodiversity & pollution risk assessment models
- Industrialisation of pollen recognition & smart hive devices
- Commercialisation of the devices and platforms