apisense.aiCrawled Oct 24, 2026
Apisense uses in-hive sensors and AI to detect early signs of foulbrood, Nosema, and Varroa by analyzing frame photos.
The company combines pollinator activity, colony condition, satellite, and weather data into a map for growers to plan hive placement and safeguard crop yields.
Research, field pilots and practical guides from the Apisense team on bee disease, honey ripening, pollination monitoring and satellite forage mapping.
13 BioSonar prototypes listened to a blueberry field for nine days of bloom, separated honeybee flight from other insects and showed where they worked.
Honey Intelligence reads hive weight and the air bees fan out to show nectar flow, honey ripening and when to check capping, without opening the hive.
IAC 2026 paper: combining satellite observations with beekeeper-contributed data to map nectar and pollen forage resources across the season.
Apisense builds the intelligence layer for biological systems, starting with bee health and pollination, for resilient agriculture and food security.
Contact Apisense for technical support, scientific collaboration with beekeepers or business partnerships. Apisense Sp. z o.o., Kraków, Poland.
Apisense turns signals from hives, satellites and weather into early warnings on bee health, disease risk and pollination. Turning Nature into Intelligence.
EU-funded R&D at Apisense: innovation voucher projects developing IoT sensors and machine learning to detect Nosema and American foulbrood in hives.
Terms of use for the Apisense app and services: account rules, termination, liability, complaints, personal data protection and licensing.
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