Multispectral Sensors 

Multispectral imaging camera sensors on agricultural drones allow the farmer to manage crops, soil, fertilizing and irrigation more effectively. There are huge benefits both to the farmer and to the wider environment by minimizing the use of sprays, fertilizers, wastage of water and at the same time increasing the yield from crops.

Multispectral camera remote sensing imaging technology use Green, Red, Red-Edge and Near Infrared wavebands to capture both visible and invisible images of crops and vegetation. The multispectral images integrate with specialized agriculture software which output the information into meaningful data.

This land telemetry, soil and crop data allows the grower to monitor, plan and manage the farm more effectively saving time and money along with reducing the use of pesticides. 

Have you been considering upgrading your current multispectral cameras? Now is the time to take action. For the month of March 2020, We are offering up to $1,500 trade-in credit to anyone who wishes to swap out their old multispectral camera for a new MicaSense sensor.

Want to upgrade a non-MicaSense multispectral camera? No problem! Email us at info@ssass.co.za or call us on +27 12 880 0145.

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Altum integrates a radiometric thermal camera with five high-resolution narrow bands, producing advanced thermal, multispectral and high-resolution imagery in one flight for advanced analytics.
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The RedEdge-MX’s low weight, low power requirement, and ability to capture RGB and narrowband spectral bands simultaneously means you can gather the data you need in fewer flights. Have multiple UAVs? RedEdge-MX quickly integrates with many different drone platforms.
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The performance you rely on from RedEdge-MX, with a new coastal blue band, a new green band, and three new bands in the red to red-edge region of the spectrum
Sequoia+ captures information from both visible and invisible light, providing better data to monitor your crop health.
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Partners

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Pix4Dfields

Advanced agriculture mapping software for aerial crop analysis and digital farming