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  • Erin Sharp

Creating the Connected Farm using sensor and vision data

Besides helping the Agriculture Industry on the sustainability side, for years now Zam Energy has worked with innovators that either use or develop as early adopters precision agriculture innovation. We seek tech that can optimize sustainability- such as forecasting of daily irrigation water demand models. Precision Agriculture (PA), as the integration of information, communication and control technologies in agriculture, is growing day by day. The Internet of Things (IoT) and cloud computing paradigms offer advances to enhance PA connectivity.

IoT enabled edge computing devices like pest control, water sensors, soil probes, indoor environment sensors, weather stations, pest traps can incorporate deep machine leaning for self healing systems. Popping up in rural and remote environments, as well as indoor vertical farms, devices can operate in connected, semiconnected, or fully disconnected states.

Zam Energy is supporting clients looking into how to use this tech, or innovative companies that are developing this AgTech. We have worked globally with the Crop Sciences sector, and tuned into how Commoditization of crops drive efficiency using innovations in data tech. The pandemic has created a hard analysis of local supply chains, and regulatory changes have resulted in significant growth in Controlled Agricultural Environments.

Here at Zam Energy we are all in, exploring ways to expand our consultancy services to help CEA expand the use and development of this exciting tech. We are analyzing how our customers can define and strategize around big ideas for growing their business in Agriculture.

There is a lot of innovation in this space.

Trace Genomics is trying to better understand soil. Indigo Ag is focused on a grain marketplace with their carbon offering being a centerpiece. Nori has a carbon removal marketplace. Truterra is Land O’Lakes’ ambitious carbon project. And many, many more.

Key considerations when designing a hardware device are latency, on-board compute, connectivity options (Bluetooth LE, Wi-Fi, cellular, satellite), fixed or portable, number of days in a fully disconnected state, and size of data to transmit. Devices capturing soil moisture are sending small data streams that can leverage Amazon Kinesis Data Firehose and Amazon Kinesis Data Streams, whereas a drone is capturing rich visual imagery that is best suited for Amazon Kinesis Video Streams and Amazon Rekognition Video.

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