Regional Market Intelligence
6th Grain is constantly expanding the countries and crops in operation.
Tanzania, Kenya, Malawi, Mozambique, Zambia, Zimbabwe, South Africa, Lesotho, Swaziland, Angola, Katanga region of the DRC, Nigeria, Morocco, Tunisia, Algeria, Egypt, Syria, Iran, and Iraq.
Maize, Wheat, Barley, Soybean, Sunflower
Africa, Europe, Latin America, Asia
6th Grain’s annual crop classification system utilizes advanced machine learning to precisely present cropped area maps. This machine learning system is underpinned by four key steps:
Sentinel2a/b 10m satellite data is downloaded and composited to support the labeling team and to prepare for running the classification model.
The classification model is implemented to identify small fields and commercial farms by crop.
We then implement the evaluation to iterate on the map, resulting in high quality 10m annual crop classification map with error estimates.
Crop Persistency Analysis
Recognize and highlight areas where local farmers do not rotate their crops, facilitating the development and implementation of targeted agriculture advice and sales strategies.
Field Boundary Detection
Recognize different-sized fields to better develop field strategies.
Additional Layers of Data
Overlay crop data with precipitation, climatology, elevation, soil data, and agricultural infrastructure locations.
Rich Visualization
Optimized for low bandwith customers.