Domain
Methods and systems that generate reliable, scalable measurements from field imagery, sensors, and satellite data — turning physical-world observations into evidence for policy and programme design.
Monocular metrology · instance segmentation
Metric tree diameter from a single RGB frame — trunk segmentation plus pinhole projection, no reference object or specialised hardware.
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Field geodata capture · spatial modelling
Geospatial data platform: an offline-first Android capture app and a web platform, running the inventory and boundary mapping pipelines.
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Biomass estimation · carbon stocks
Above-ground biomass from DBH, species, and height via species-specific allometric equations.
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Species recognition · research dataset
CNN bark-image species ID and large-scale benchmark dataset, published in Nature Scientific Data.
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Multi-sensor fusion · species distribution
Species distribution modelling on fused SAR + optical satellite stacks — landscape-scale vegetation layers, deployed across four states.
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3D volume CV · market measurement
Smartphone CV pipeline for reference-free 3D food volume estimation at rural market scale.
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Multi-source fusion · income measurement
Multi-source farmer income estimation fusing mobile, satellite, and field imagery.
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Dataset quality · multi-LLM validation
Two-phase dedup and multi-LLM label validation for crowdsourced survey imagery.
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