

Understand whether the bees are present, active and capable of doing the work.
Apisense combines direct measurement of bee activity in the field with information about colony health and condition. This creates a clearer picture of whether pollinators are actually working the crop, not simply whether hives were delivered.


Understand bee activity in the context of the crop and its environment.
Pollinator activity does not happen in isolation. Bloom timing, forage availability, weather and surrounding vegetation all influence how bees behave.
Apisense combines satellite observations and environmental data with bee activity, helping distinguish between changes driven by colony condition and those caused by external conditions.
Connect pollination performance with what the crop ultimately delivers.
The next layer of Pollination Intelligence is designed to link measured pollinator activity and environmental conditions with fruit set, crop yield and crop quality.
The goal is to move beyond understanding whether bees were active and toward understanding what that level of pollination may mean for the expected agricultural outcome.
*This forecasting layer is currently being developed and validated with growers and research partners.





See pollinators’ activity and hive locations across the crop.
Understand how bee activity changes across different areas and over time.
View weather, bloom and satellite information alongside pollinator activity.
Identify areas that may require closer observation, changes in hive placement or further intervention.
Build a record of pollination activity that can later be compared with fruit set, yield and crop quality.
Compare pollination activity and conditions across multiple fields or crop varieties to spot where performance differs.
We are selecting growers and research partners for the next Pollination Intelligence validation programme.
