IOT Into The Wild (Seeed)

IOT Into The Wild (Seeed)

With the move towards making the agricultural sector more sustainable and efficient, the inclusion of IoT technology in daily operations has become a natural move for many South African farmers.
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With the move towards making the agricultural sector more sustainable and efficient, the inclusion of IoT technology in daily operations has become a natural move for many South African farmers.

IoT connected devices are being used by farmers to gain better control of livestock and crops via sensors and data loggers which in turn will assist in 3 ways:

  • provide a globally accessible solution that is not restricted to service providers or local networks
  • allows farmers to have real-time collection and presentation of data
  • provides farmers with an energy-efficient, cost-effective and it's an easy to install solution

 
To assist our farmers effectively capitalise on these benefits and more, Euca Technologies is introducing Seeed’s latest offering: IoT Into the Wild. The product launch focused on AIoT (Artificial Intelligence of Things) solutions for outdoor applications, covering devices from low-power sensors to ultra-long-range gateways featuring Edge AI.

Seeed aims to provide an evolving set of easy-to-deploy outdoor LoRaWAN sensors to ensure everyone can set up and obtain data in 3 steps with the flexibility to integrate them into existing IT systems.

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During the Launch, Seeed introduced a series of distributed outdoor sensors “Solid for the Wild”. With 10+ years of battery life, IP66 protection, and up to 10km transmission range, people can deploy the sensors with fewer constraints. On top of the basic data logger and sensors, Seeed also provides a plug-and-play deployment experience and a rich sensor system for people to create their own derivatives with ease.

Powered by ultra-low-power Machine Learning and Euca’s NviroSense software at the device level, SenseCAP sensors can perform always-on inferencing with vision and sound. This unleashes new possibilities to continuously recognise critical information in real-time

The standard Machine Learning model is available to be updated and trained in real-life scenes.

By working with renowned climate change experts, Seeed introduced a 10-in-1 Compact CO2 Station with 5ppm accuracy, as an alternative to the current 50 times more expensive solutions. It’s the smallest of its kind and easy to deploy in the grid with flexibility, targeting to meet the fast-growing needs of monitoring the meteorological environment for carbon neutrality.

Checkout the IoT Into the Wild Product Range