Pakistan Infestation
We correctly identified the scale of a cotton infestation ahead of the market, enabling clients to act before the market.
Read case study →Managing crops is deeply complex. Internal data from farm surveys arrives sporadically, generic weather data from one company, satellite data from another, crop forecasts that are hard to understand — and no details about harvest or logistics. We have solved this.
We bring together satellite imagery, drone data, weather, field surveys and logistics into one secure platform. By uniting every data source, users can monitor crops from planting to delivery with complete visibility and control.
Data is updated every 60 minutes, giving producers, hauliers and farmers the latest view of crop health, yields and risks. Early alerts help prevent losses, optimise harvest schedules and keep operations on track.
CropManager tracks every stage from harvest to delivery, mapping field locations, crop volumes and transport routes in real time. Integrated logistics data ensures every load is collected on schedule, delivered efficiently, and any risks are managed before they impact operations.
We correctly identified the scale of a cotton infestation ahead of the market, enabling clients to act before the market.
Read case study →We mapped over 3,000 sugarcane fields in just 10 days, delivering forecasts with greater accuracy and 90% lower cost than traditional methods.
Read case study →Ground truth and satellite analysis revealed the true impact of the floods weeks before official reports — giving our clients a decisive market advantage.
Read case study →Human walk-throughs are slow, expensive and only ever cover a fraction of the production base — so problems are found late.
Survey data arrives in different formats, on different schedules, with different assumptions — and rarely reconciles cleanly.
Most tools cover a single region, crop or data type — leaving blind spots across the rest of the supply chain.
Country-level weather averages miss what's actually happening on your fields — where risk is created or avoided.
See how HSAT can help you get better insights and reduce your risks — our integrated intelligence, from field to factory, is unique.
Book a meeting with the teamWe ingest imagery from multiple public and commercial constellations — combining NDVI, soil moisture and thermal bands — and map every pixel to a specific crop and field boundary. Coverage is global, with refresh cycles from daily down to near-real-time in priority regions.
Standard monitoring is at 10m resolution; priority fields and enterprise clients can be upgraded to sub-metre resolution using commercial tasking and drone overflights.
The platform refreshes every 60 minutes. Weather and satellite layers update as new imagery and observations arrive; alerts are pushed in near-real-time.
Yes — we have crop models for 700+ crop-country combinations including cocoa, sugar, cotton, coffee, palm oil, wheat, soy, corn, canola, barley and rice. If it's a commercially traded crop we can monitor it.
We run a proven ground network of field surveyors in every major producing country. Survey data is cross-validated against our satellite and weather models, closing the gap between what's reported and what's actually in the ground.
Book a 30-minute walkthrough. We'll set up a live dashboard for your crops and regions within 24 hours, and scope any custom monitoring or integration work from there.