Monitor crop health at scale, optimise irrigation, and detect pest and disease outbreaks weeks before they become visible to the naked eye.
Southeast Asia's agricultural sector faces mounting pressure to increase yields while reducing resource consumption. Palm oil plantations across Malaysia and Indonesia, rice paddies in Thailand, and vegetable farms in Singapore all share the same fundamental challenge: monitoring crop health across vast areas quickly enough to act on problems before they spread.
Traditional ground-based scouting is labour-intensive, slow, and limited in coverage. A single agronomist walking through a plantation can inspect only a fraction of the total area in a day, and subtle variations in plant health are invisible from ground level. By the time a problem is identified, significant crop loss may have already occurred.
Irrigation inefficiency compounds the problem. Without precise data on soil moisture distribution and crop water stress, farms over-irrigate some zones and under-irrigate others — wasting water and reducing yields simultaneously. Drone-mounted multispectral sensors provide the actionable data that modern precision agriculture demands.
Multispectral imagery for NDVI crop health maps, terrain models for drainage planning, and high-resolution boundary surveys for plantation management.
Automated crop health classification, change detection between survey flights, and yield estimation models that turn raw imagery into agronomic decisions.
Design a recurring aerial monitoring programme aligned to your crop cycle — sensor selection, flight schedules, data pipelines, and agronomic interpretation workflows.
Multispectral drone sensors capture near-infrared reflectance data that reveals plant vigour invisible to the human eye. Generate NDVI maps that pinpoint stressed zones, nutrient deficiencies, and disease hotspots across thousands of hectares.
Overlay thermal and multispectral data to identify zones of water stress and over-saturation. Optimise irrigation scheduling and zoning to reduce water consumption while maintaining optimal crop health.
AI models analyse canopy density, plant count, and health indices to forecast yields with greater accuracy than traditional sampling methods. Improve harvest logistics and market planning with data-driven predictions.
Generate georeferenced orthomosaics that clearly delineate plantation boundaries, access roads, and buffer zones. Essential for lease management, land-use compliance, and resolving boundary disputes.
Precision irrigation guided by drone-derived crop water stress data eliminates over-watering and optimises resource allocation across every zone.
Multispectral sensors detect crop stress two to three weeks before symptoms become visible to the human eye — enabling targeted intervention before losses compound.
A single drone flight covers in one hour what a ground scouting crew would take a full day to inspect — with far greater consistency and spatial resolution.
Tell us about your crop type, acreage, and monitoring goals — and we will design an aerial intelligence programme that fits your growing cycle.