Field sensing & actuation
IoT Sensor Networks Low-cost, low-power sensors that stream live field data, hour by hour.
Soil moisture probes, weather stations, and water-level sensors connected over LoRa and cellular backhaul. Built to survive real field conditions on smallholder budgets, they form the data backbone of every smartagri system.
Key benefits
Continuous, real-time field monitoring Affordable open hardware Months of battery life in the fieldCommon applications
Soil monitoring Microclimate stations Water management
Connected technologies
Smart Irrigation Control Climate Control Systems EIS Plant Sensing Decision Support Systems Weather & Climate ModelingPowers these research areas
Field sensing & actuation
UAV Platforms Drones that map, scout, and treat fields from above.
Fixed-wing and VTOL platforms flying programmed missions over fields and estates. A twenty-minute flight produces imagery that would take days to gather on foot. They are the eyes of our precision agriculture work.
Key benefits
Whole-field coverage in minutes Centimeter-scale imagery Repeatable, programmed missionsCommon applications
Field mapping Crop scouting Precision spraying
Connected technologies
Multispectral Imaging Geospatial Analytics Computer VisionPowers these research areas
Field sensing & actuation
Multispectral Imaging Seeing crop stress days before the human eye can.
Cameras that capture near-infrared and red-edge bands alongside visible light. Healthy vegetation reflects these bands strongly, so stress, disease, and nutrient problems show up in the data long before symptoms are visible.
Key benefits
Early stress detection Objective vegetation indices (NDVI, NDRE) Per-plot health mappingCommon applications
Plant health maps Yield estimation Variable-rate input
Connected technologies
UAV Platforms Machine Learning & AI Geospatial Analytics Computer VisionPowers these research areas
Field sensing & actuation
Hyperspectral Sensing Hundreds of spectral bands for lab-grade plant analysis.
Where multispectral sees a handful of bands, hyperspectral sees hundreds, enough to estimate chlorophyll, nutrient status, and physiological responses non-destructively, from plant factories to field samples.
Key benefits
Non-destructive measurement Fine-grained physiological insight Pairs naturally with machine learningCommon applications
Microgreens monitoring Nutrient estimation Quality grading
Connected technologies
Machine Learning & AI Climate Control Systems EIS Plant SensingPowers these research areas
Data & intelligence
Computer Vision Models that read leaves, count fruit, and flag disease.
Deep-learning vision models trained on field imagery to detect blight, rust, and pest damage, count plants and fruit, and grade produce, turning ordinary cameras into expert scouts that never tire.
Key benefits
Early disease detection Consistent, objective assessment Runs on affordable edge devicesCommon applications
Disease detection Fruit counting Produce grading
Connected technologies
Machine Learning & AI UAV Platforms Multispectral ImagingPowers these research areas
Data & intelligence
Machine Learning & AI Turning seasons of field data into predictions farmers can act on.
From yield forecasting to irrigation scheduling, machine-learning models sit at the heart of smartagri. They fuse sensor streams, imagery, and weather data into early warnings and recommendations tuned to local conditions.
Key benefits
Season-ahead yield forecasts Learns local field behavior Improves with every season of dataCommon applications
Yield prediction Anomaly detection Recommendation engines
Connected technologies
Computer Vision Multispectral Imaging Hyperspectral Sensing Weather & Climate Modeling Decision Support SystemsPowers these research areas
Field sensing & actuation
EIS Plant Sensing Reading plant physiology through electrical impedance.
Electrical impedance spectroscopy passes tiny signals through plant tissue to estimate chlorophyll and physiological status without harming the plant, a smartagri research specialty published in international journals.
Key benefits
Non-destructive physiological sensing Low-cost instrumentation Complements optical methodsCommon applications
Chlorophyll estimation Plant health checks Phenotyping
Connected technologies
IoT Sensor Networks Hyperspectral Sensing Machine Learning & AIPowers these research areas
Field sensing & actuation
Climate Control Systems Closed-loop control that keeps growing environments ideal.
Controllers that regulate temperature, humidity, and vapor pressure deficit (VPD) in greenhouses and plant factories. Our VPD-control research showed how tightly managed environments translate directly into growth and yield.
Key benefits
Stable optimal growing conditions Higher growth rates and yields Efficient energy and water useCommon applications
Plant factories Smart greenhouses VPD control
Connected technologies
IoT Sensor Networks Hyperspectral Sensing Smart Irrigation Control Decision Support SystemsPowers these research areas
Field sensing & actuation
Smart Irrigation Control Water delivered exactly when and where crops ask for it.
Sensor-driven valves and pumps that irrigate on plant demand instead of fixed timers (from drip systems and sprinklers to modernized canal networks), cutting water use while protecting yield.
Key benefits
Major water savings Less runoff and leaching Works from drip lines to canalsCommon applications
Automated scheduling Canal telemetry Sprinkler control
Connected technologies
IoT Sensor Networks Weather & Climate Modeling Decision Support Systems Climate Control SystemsPowers these research areas
Data & intelligence
Geospatial Analytics Every measurement on the map, every decision per plot.
Stitching drone orthomosaics, satellite imagery, and sensor locations into per-plot maps. Geospatial analysis turns scattered measurements into zone maps that guide scouting, treatment, and planning.
Key benefits
Per-plot management zones Field-boundary mapping Layered multi-season viewsCommon applications
Orthomosaic mapping Zone management Estate planning
Connected technologies
UAV Platforms Multispectral Imaging Decision Support SystemsPowers these research areas
Data & intelligence
Weather & Climate Modeling Seasonal outlooks tuned to smallholder decisions.
Downscaled forecasts and seasonal climate outlooks built with partners like BMKG, answering the questions farmers actually ask: what to plant, when to plant, and how to hedge a late monsoon.
Key benefits
Locally calibrated forecasts Season-ahead planning signals Climate-risk indicatorsCommon applications
Planting calendars Drought early warning Risk advisories
Connected technologies
Machine Learning & AI Smart Irrigation Control IoT Sensor Networks Decision Support SystemsPowers these research areas
Data & intelligence
Decision Support Systems Dashboards that end in a decision, not a dataset.
The layer farmers and cooperatives actually touch: dashboards and advisories that fuse everything above into plain recommendations: which plot to scout first, when to irrigate, what to expect at harvest.
Key benefits
Plain-language recommendations Designed with farmer cooperatives Works on ordinary phonesCommon applications
Farm dashboards Advisory messages Cooperative reporting
Connected technologies
Machine Learning & AI IoT Sensor Networks Smart Irrigation Control Weather & Climate Modeling Geospatial Analytics Climate Control SystemsPowers these research areas
Field sensing & actuation
IoT Sensor Networks Low-cost, low-power sensors that stream live field data, hour by hour.
Soil moisture probes, weather stations, and water-level sensors connected over LoRa and cellular backhaul. Built to survive real field conditions on smallholder budgets, they form the data backbone of every smartagri system.
Key benefits
Continuous, real-time field monitoring Affordable open hardware Months of battery life in the fieldCommon applications
Soil monitoring Microclimate stations Water management
Connected technologies
Smart Irrigation Control Climate Control Systems EIS Plant Sensing Decision Support Systems Weather & Climate ModelingPowers these research areas