SevvenLabs

Agriculture Machine Learning Services

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    Drone and satellite multispectral crop health analysis (NDVI index)
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    AI-powered weed detection and targeted variable-rate spraying
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    Harvest yield prediction and soil moisture optimization
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    Livestock health monitoring and thermal biometric tracking
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    Automated fruit and crop grading using edge vision systems
Agriculture

App Development

Field scouting & smart farming apps

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FARM SCOUTING MOBILE APPS WITH OFFLINE GPS MAPPING

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IRRIGATION & WEATHER SENSOR MOBILE CONTROLLERS

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CROP DISEASE DIAGNOSIS APPS VIA SMARTPHONE CAMERA

Web Development

Agritech telemetry dashboards

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GEOSPATIAL FARMLAND SATELLITE MAPPING PORTALS

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GRAIN ELEVATOR & HARVEST YIELD TRACKING PLATFORMS

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AGRONOMIC CONSULTATION & SOIL LAB DATA PORTALS

Software Development

Autonomous machinery integration

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TRACTOR GUIDANCE & WEED SPRAYER EMBEDDED VISION ENGINES

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PRECISION IRRIGATION WATER CONSUMPTION MODELS

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COMMODITY YIELD FORECASTING & GRAIN INVENTORY PLATFORMS

Data Annotation

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Aerial Multispectral Drone Imagery (NDVI, RGB) Segmentation
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Weed vs. Crop Plant Species Polygon Labeling
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Fruit & Vegetable Ripeness / Quality Grading Annotation
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Livestock Identification & Ear-Tag Tracking Datasets
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Soil Erosion & Water Runoff Satellite Mapping

Frequently Asked Question

Multispectral sensors capture light reflection invisible to the human eye, pinpointing nitrogen deficiency, water stress, and pest infestations weeks before visible damage.