What is Geospatial Analysis for Agriculture
At Cybertiks, we specialize in delivering bespoke solutions designed to meet the pressing needs of diverse industries worldwide. Our key area of expertise lies in remote sensing of industrial requirements, achieved by harnessing the power of satellite imagery and the integration of accurate AI models trained on thousands of fields.
How to Use Geospatial Analysis for Agriculture
With Cybertiks, you can analyze any field in the world remotely and obtain the metrics you need. Our AI models are tailored for each metric and have been tested and validated, offering over 80% accuracy.
Use Cases of Geospatial Analysis for Agriculture
By using thermodynamic information captured by electromagnetic sensors located in space satellites, weather balloons, drones, cameras, and radars, we identify, classify, and quantify the presence of materials with quantum-enabled artificial intelligence for scale and speed.
Features of Geospatial Analysis for Agriculture
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Sensor Fusion
We integrate multiple sources of information to provide a complete and strategic vision.
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Certifications
Our solutions start with verified validations from industrial organizations.
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Synchronize Data
We detect and synchronize data from different detection sensors.
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Data Integration
We integrate optical, radar, and any other available data.
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Deliverable
We present data in a convenient format for our clients.
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Tailored Solutions
We design the best-fitting integrated solution for each field and client.
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Detection
We are able to detect any mineral or element with a recorded spectrographic fingerprint.
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Classification
We classify elements according to their spectral signature, shape, or category selected by the client.
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Quantification
Depending on the element, we provide a specific amount or a conditional range.