The use of artificial intelligence and machine learning in multispectral data.
By combining AI/machine learning algorithms, it is possible to monitor and manage farms, forests, and environmental resources more efficiently and effectively.
AI/machine learning algorithms typically require data from another RGB camera, but the multispectral cameras RedEdge-P and Altum-PT can run algorithms using only the body itself. Innovative machine learning is being utilized in agriculture for various applications, such as counting crops and understanding the conditions of specific areas. With the cooperation of the operations manager at Swans Trail Farm, AgEagle had the opportunity to fly over a pumpkin field in Snohomish, Washington, USA, to quantify and classify all the pumpkins. *For more detailed information, please refer to the related links. For further inquiries, feel free to download the PDF or contact us.
basic information
◆RedEdge-P Specifications Weight: 350g (RedEdge-P + DLS2) Dimensions: 8.9 × 7.0 × 6.7 cm Sensor Resolution: 1456×1088 (1.6MP per MS band) Panchromatic Sensor Resolution: 2464×2056 (5.1MP panchromatic band) Acquisition Bands: blue, green, red, red edge, near-IR Storage: CFexpress Card ◆ALTUM-PT Specifications Weight: 460g (ALTUM-PT + DLS2) Dimensions: 11.0 × 8.0 × 6.9 cm Sensor Resolution: 2064×1544 (3.2MP per MS band) 4112×3008 (12MP panchromatic band) 320×256 thermal infrared Acquisition Bands: blue, green, red, red edge, near-IR (global shutter, narrowband) Storage: CFexpress Card *For more details, please refer to the PDF document or feel free to contact us.*
Price information
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Delivery Time
Model number/Brand name
AgEagle (MicaSense brand)
Applications/Examples of results
■Field monitoring ■Research at educational institutions ■Photogrammetry in the agricultural sector ■Lawn management *For more details, please refer to the PDF document or feel free to contact us.*
