DTI PROPRIETARY · INTEGRATED SPATIAL INTELLIGENCE
Geospatial analytics and AI to help plantation companies make faster field decisions.
GEOAI turns drone, satellite, and geospatial data into practical insights for estate monitoring, traceability readiness, and field-action priorities.
ABOUT GEOAI
From aerial data to estate-wide decisions.
Indonesia’s palm oil industry operates at world-largest scale — 16+ million hectares contributing over half of global supply. Leading operators already collect drone and satellite imagery, but manual analysis is the bottleneck: weeks of processing yield only limited, reactive sample reports across estates spanning hundreds of thousands of hectares.
GEOAI is DTI’s proprietary spatial-intelligence platform — DATA → INSIGHT → ACTION. It turns the multispectral and RGB imagery you already capture into a 100% tree census, early-warning vegetation-health maps, and decision dashboards, automatically. What manual analysis needs weeks for, GEOAI processes in hours.
GEOAI is developed by DTI together with a team experienced in building geospatial and aerial-intelligence systems — pairing DTI’s delivery with proven domain expertise. Field-validated in Indonesian plantation conditions and already deployed with a leading Indonesian plantation enterprise (named reference available under NDA), it integrates with the drone, satellite, and MIS systems you already run.
CAPABILITIES
From aerial data to estate-wide decisions
GEOAI turns drone imagery, satellite imagery, and spatial data into insights that help estate teams prioritize field actions.
Automated tree census
A 100% tree census from drone and satellite imagery using YOLO and U-Net models — total population, blank spots, and density per block, accurate to over 95% with ground-truth validation. Thousands of manual man-days become hours of processing.
Early stress & disease detection
Vegetation-index analysis (NDVI / NDRE / SAVI) flags growth anomalies, nutrient deficiency, and pest or Ganoderma stress before it is visible to the eye — widening the intervention window.
Precision input mapping
Block- and tree-level fertilizer and spray recommendations based on actual tree count and canopy health — applied only where needed, trimming input cost (10–15%, conservative estimate) and environmental impact.
Land optimization & replanting
Blank-spot maps and tree-age classification drive replanting priority per block, with cost estimates and yield projections for long-term capex planning.
EUDR land traceability
Historical satellite analysis for EUDR-ready land-use traceability (no deforestation since the cutoff date), with RSPO and ISPO sustainability evidence.
Decision dashboards & early warning
Real-time interactive dashboards turn analysis into action — from reactive sampling to predictive, diagnostic decisions across the whole estate, integrated with existing MIS and GIS without replacing the tools you already run.
USE CASES BY INDUSTRY
Where GEOAI delivers precision
Plantation & Agribusiness
Tree census, early Ganoderma detection, precision fertilizing, and EUDR land traceability across multi-thousand-hectare estates.
Plantation & Agribusiness
Canopy monitoring, yield forecasting, and sustainability reporting for forestry and broader agribusiness.
Government & BUMN
Land-use mapping, food-security analysis, and compliance evidence for ministries and state agribusiness.
STANDARDS & FRAMEWORK
Built for sustainability certification
OTHER PRODUCTS
Specialist depth in three categories
Tilaka Digital Signature
Certified electronic signatures for approval workflows that are faster, legally valid, and easy to trace and audit.
YubiKey Security Key
Hardware-grade phishing-resistant authentication. FIDO2, U2F, FIPS. Yubico Preferred Partner in Indonesia.
DHealth SIMRS
Hospital information system and electronic medical records that help hospitals operate more cohesively and efficiently.
READY TO DEPLOY GEOAI?
Sandbox access and a tailored walkthrough.
Discuss your estate area, available data, and analytics target to see how GEOAI can support operations and traceability.
