IntelinAir joins NVIDIA inception program

16-03-2020 | |
AgMRI identifies areas of yield risk
AgMRI identifies areas of yield risk

The collaboration will further fuel IntelinAir’s ability to deliver meaningful crop intelligence to farmers.

IntelinAir has joined the NVIDIA Inception program as a community member. The NVIDIA Inception Program is a virtual accelerator program that helps startups during critical stages of product development, prototyping and deployment. Every Inception member gets a custom set of ongoing benefits, from NVIDIA Deep Learning Institute credits, marketing support and preferred pricing on GPUs, enabling early-stage startups with tools that help them grow.

Make crop information universally accessible

IntelinAir is an analytics company that delivers crop intelligence to farmers through aerial imagery, computer vision, machine learning, agronomic science, and intelligent user interfaces. IntelinAir’s goal is to organise and digitise the world’s crop information and performance – making it universally accessible and useful to deliver high yields, greater efficiencies, and sustainable farming.

Near real-time Smart Alerts

In 2020, IntelinAir plans to document images from close to 5 million acres of farmland across nearly 50,000 fields, collecting over 1PB of raw data. Using computer vision and deep learning approaches, IntelinAir will analyse data to deliver near real-time Smart Alerts to farmers through its flagship product, AgMRI.

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AgMRI identifies areas of yield risk. - Photo: IntelinAir

AgMRI identifies areas of yield risk. – Photo: IntelinAir

The NVIDIA Inception program offers IntelinAir collaboration opportunities with industry-leading experts and other AI-driven startups.

Deliver meaningful crop intelligence to farmers

“We are extremely excited to be a part of the NVIDIA Inception program. NVIDIA is a leader in the machine learning community on both the research and engineering fronts, and this collaboration will further fuel our ability to deliver meaningful crop intelligence to farmers and push the boundaries of what machine learning and AI can do for agriculture,” said Jennifer Hobbs, PhD, director of machine learning at IntelinAir.

Hugo Claver Web editor for Future Farming