Research
We study how multi-spectral drone imaging and vision models lift real farm efficiency — not just in labs, but on the plots they were built for.
Continuous seasonal data cycles let us compare the same plot across growth stages, refine classification accuracy and test whether an intervention actually changed the outcome. Beyond single farms, anonymized regional datasets reveal structural inefficiencies in resource allocation, which we translate into research reports and policy memos aligned with local government priorities.