FlyPix AI
FlyPix AI is a geospatial analysis platform based on artificial intelligence designed to turn aerial and satellite images into actionable insights for precision agriculture. With an intuitive interface that requires no programming skills, it allows farmers to monitor crop health, detect diseases and pests, and optimize resource use such as water and fertilizers.
Using advanced machine learning algorithms, FlyPix AI analyzes high-resolution images to identify growth patterns, anomalies, and plant stress areas. This enables quick and accurate interventions, improving crop yields and reducing losses. The platform also offers features like yield prediction, weed infestation mapping, and irrigation management, accessible via mobile devices or computers.
FlyPix AI integrates easily with drones and IoT sensors, adapting to the needs of both small farms and large estates. Its ability to provide detailed, real-time analysis makes it a valuable tool for informed decision-making in the field.
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Name in original language | FlyPix AI |
Name in English | FlyPix AI |
Designer/ manufacturer | FlyPix AI GmbH |
Accessibility | Sold commercially |
Weblink | https://flypix.ai/ |
Countries of primary use | Poland, UK, Germany, Spain, Italy, Netherlands, France, Belgium |
Main language | English |
Other languages available | German |
Brief description of the tool | FlyPix AI is a geospatial analysis platform based on artificial intelligence designed to turn aerial and satellite images into actionable insights for precision agriculture. With an intuitive interface that requires no programming skills, it allows farmers to monitor crop health, detect diseases and pests, and optimize resource use such as water and fertilizers. |
Target user | Farmer |
Target crops | Wheat, Maize, Potatoes, Barley, Oats, Rye, Sorghum |
Type of tool | Crop analysis |
The tool assesses or provides guidance on | NDVI, % Canopy cover, RGB imagery, Yield map |
Nutrients assessed | Nitrogen (N), Phosphorus (P), Potassium (K) |
Type analysis | Leaf analysis |
Nutrients assessed in the lab | Not included |
The tool relies on a base recommendation system | No |
The assessment frequency should be | |
Required data input is | Crop, Farm location, Growth stage |
The data can be imported from other tools and systems | Yes |
The tools main output format is | PDF file |
Data can be exported | Yes |