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Semios gets US$ 75M to expand IoT network

The funds raised enable Semios to accelerate research, development, partnerships or acquisitions to use in-field data to help growers around the world reduce chemical inputs, improve water management and increase crop outcomes.

Semios, a precision farming platform for permanent crops, has raised US$ 75 million in private equity funding to advance the development of its data-driven crop management solution.

Big data, machine learning and artificial intelligence

“The Semios IoT network, the largest in agriculture, provides critical insights into the relationships between organisms and their environments, leveraging big data, machine learning and artificial intelligence,” said Semios CEO & founder, Dr. Michael Gilbert. “We amplify the experience and confidence of farmers by providing a clear picture of how environmental and agronomic factors influence the yield and grade of their crops. This investment will help us continue to deliver innovative solutions to the most pressing problems growers have told us they face.”

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Semios CEO & founder, Dr. Michael Gilbert: "This investment will help us continue to deliver innovative solutions to the most pressing problems growers have told us they face." - Photo: Semios
Semios CEO & founder, Dr. Michael Gilbert: "This investment will help us continue to deliver innovative solutions to the most pressing problems growers have told us they face." - Photo: Semios

Over 1 million IoT sensors in the field

Semios says it collects sensory data on every acre in near real-time, helping farmers manage the complex biosystems in orchards to optimise the sustainability and profitability of their crops. Its cloud-based analytics platform ingests granular data from over 1 million IoT sensors in the field, measuring in-canopy microclimate, soil and plant conditions every 10 minutes.

The 350 million data points collected daily feed established and proprietary models that provide guidance to improve agricultural practices addressing weather, insects, disease and water management challenges.

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