Predicting bud rot, before it happens
Routine physiological performance assessments are linked to future stress.
The problem
The scale of palm plantations does not allow detecting the degree of physiological stress with enough anticipation.
AKAI solution
Integrating georeferenced field-sensor data to develop AI models that become part of the toolset used to make better disease-management decisions.
Results
At plantation scale, it isn't just a map — it's catching a stressed block early enough to act on it, and knowing which hectares to prioritize when resources are limited.
BEFORE SYMPTOMS APPEAR, the interaction between the instruments measuring crop metabolism and the geopositioning provided by the drone makes it possible to take THE RIGHT decisions.
Across the monitored blocks, canopy-level multispectral passes were used to flag stress zones weeks ahead of visible symptoms, directing interventions to the hectares that needed them — rather than the whole estate.