Afa Sjarifarudin
Decades of oil palm estate management across agronomy and operations in Indonesia. Author of The Algorithmic Estate: A Green AI Blueprint in Oil Palm Plantation.
Raih AI fuses agronomic, weather, satellite, and operational data into a digital twin of the oil palm estate — predictive intelligence that turns plantation complexity into confident operational decisions.
A block is 25–30 hectares — three to four thousand trees — reported as one number. Performance varies tree by tree; block-level reporting cannot show where.
82% of target. Acceptable. No action raised.
A 38-tree cluster failing in the south-east corner — consistent with a drainage fault, not a nutrition gap.
One targeted intervention, instead of a blanket response across 28 hectares.
Agronomic records, weather, satellite imagery, and daily operations — brought into one consistent picture of the estate.
A living model of the plantation that stays current as conditions on the ground change.
Yield, stress, and risk signals surfaced early — before they become losses in the monthly report.
Clear, auditable recommendations, delivered into existing estate workflows and management reporting.
Decades of oil palm estate management across agronomy and operations in Indonesia. Author of The Algorithmic Estate: A Green AI Blueprint in Oil Palm Plantation.
Leads technology development — machine learning models and data-fusion systems across agronomic, weather, satellite, and operational data. Founder of Lucky Shovel Pte. Ltd., the Singapore technology company behind Raih AI.
The smallest unit most estates analyse today. Thousands of trees, one number — adequate for reporting, blind to tree-level variance.
Individual tree health, yield, and history — a record for every trunk, at estate scale. In development with partner estates in Indonesia.
Tell us about your estate and where block-level reporting stops. Enquiries reach the leadership team directly.