HSAT can work on all common soft commodities, including soy, rice, barley, wheat, sugar, oilseeds. HSAT and can even separate sugar from cassava
Using the latest satellite technology and advanced analytics highly accurate crop yield predictions can be obtained.
HSAT has funding from the European Space Agency to build solutions for soft commodities.
Very high levels of accuracy can be obtained – over 96%+.
This is through a combination of high-quality data and advanced analytics.
HSAT invests heavily in creating high quality labelled data – specifically for your project, for your crop in your country – using local surveys and UAVs
Read about how HSAT can obtain such high levels of accuracy here
HSAT has an investment from the European Space Agency to build solutions and drive innovation
CASE STUDIES
How we can help
We help provide insights and understanding – to make your company more competitive. We work with you to understand your challenges and provide a bespoke solution based on your requirements. We bring together satellite data and other alternative data (weather, foot traffic, drone data, etc) together with artificial intelligence to provide new insights
Our services can vary from advising on the best use of data, to provide unique research on a particular area or industry. Often, we are asked to monitor an area or region – this can be monitoring a farm for disease and pestilence or understanding the impacts around ESG.
Certain events can be predicted – including long-range predictions (months in advance) or early warning hours or even days ahead of traditional market reports.
CASE STUDY
Case Study: Soft Commodities
A client needed to understand the expected crops across millions of hectares - but there was no reliable data available. HSAT worked the client to produce a bespoke solution to monitor the region for the total area of crops planted, and the growth of the crops throughout the year.
CASE STUDY
Case Study: Fish Farming
To better understand the risks to their stock a client wanted to combine satellite data with terrestrial data and historical reports - HSAT is able to pull together this data and use machine learning to better understand and manage the risks fo fish stock.
CASE STUDY
Case Study: Ports and Logistics
A client needed to understand the logistics and activities around ports - given the scale of the individual ports and their diverse locations around the world, it wasn't possible to manual check these. HSAT built a solution to monitor these locations and track the key movements, providing alerts when required.
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