Research area
Precision management for oil palm estates: fertiliser decision support, soil moisture monitoring, rapid fertiliser checks and AI stress prediction.
Overview
On a plantation, a small error in fertiliser or water repeats across thousands of palms. Our estate work turns historical records, field sensors and aerial imagery into decisions on what to apply, where, and when stress is on its way.
Our approach
Every project starts in the field: we sense what is happening, model what it means, and turn the result into decisions farmers and operators can act on.
Why it matters
What we do
Center projects
4 projects from the center's research portfolio. Open a slide to see the system, the setup and the results.
Mines estate records (area, soil type, nutrients, rainfall, production) to model doses of N, P, K, Mg, Ca and B with an artificial neural network, and serves the recommendation in a decision support system.
Real-time soil moisture on suboptimal oil palm soils through the Agrieye cloud and a decision support dashboard, to see a water deficit coming.
A field test unit with an NPK sensor, mixer, HMI screen, printer and SD card, linked to the global subsystem, flags fertiliser that does not meet its specification.
Multispectral VTOL imagery (Sony RX1R II, MicaSense RedEdge-P) and an automatic weather station feed a neural network, delivered through the SmartGrow Tropics decision support system.
In practice
Related publications
Other research
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