Satellite reports
It is an on-demand satellite analysis tool that uses vegetation indices and machine learning to generate detailed maps of crop health and vitality, enabling early detection of stress caused by pests, diseases, or nutrient deficiencies.
It is an on-demand satellite analysis tool designed to provide a comprehensive view of crop health and field variability through a full set of key agricultural vegetation indices. Powered by machine learning, users can define a field and select a date to generate a detailed color-coded map showing crop vitality, enabling early detection of stress caused by pests, diseases, or nutrient deficiencies.
Water Production and Storage and Water Use Efficiency
Main theme:
North
Region:
300 - 400
Precipitation (mm):
Medium
Application difficulty:
1, 2, 8, 5, 10, 13, 15, 14, 12 and 17
SDGs impacted:
Electric
Energy used:
70 - 90
Efficiency (%):
Urban/Rural
Sector:
It reduces chemical use: By accurately identifying hotspots of pests and diseases, it enables targeted treatments instead of widespread spraying across the entire field. This significantly reduces overall pesticide use and helps protect local biodiversity, such as pollinators.
It prevents fertilizer pollution: It identifies specific nutrient-deficient areas, allowing farmers to apply fertilizer only where needed. This avoids over-application, reducing nutrient runoff into waterways and lowering greenhouse gas emissions.
It conserves water: The maps reveal exact zones of water stress, enabling farmers to address specific irrigation issues rather than increasing water use across the whole field. This prevents waste and preserves a vital resource.
It reduces farm emissions: By supporting precise monitoring and treatment, it decreases total fuel consumption and machinery operating hours, thereby lowering the farm’s carbon footprint.
Expected environmental impact:
Free
Estimated value:
Links of interest: