Is Ag Tech Adoption an Issue?
Lets not forget that farmers themselves are very innovative and willing to try new things - still, they proceed with caution. So, technology adoption will most likely continue to be a pain point in agriculture, but having awareness of these principles may help developers smooth the path moving forward.
Deere to Advance Machine Learning Capabilities in Acquisition of Blue River Technology
Blue River has designed and integrated computer vision and machine learning technology that will enable growers to reduce the use of herbicides by spraying only where weeds are present, optimizing the use of inputs in farming - a key objective of precision agriculture.
Beyond the Hype: AI in Agtech
With Agrilyst, growers can understand which of their crops are the highest performers based on yield, growth rate, or both and run production scenarios with higher performers having more space allocation. These recommendations help growers optimize the space on their farm and drive significantly higher revenues.
Emerging Agricultural Technologies
Today, there are approximately 1 billion people who are underfed; and with an expected 9 billion people inhabiting the earth by 2050, we must use all of the technology that farmers have at their disposal. Technology is giving some promising solutions to this problem.
Rapid Change And Constant Disruption Demand A New Approach To Innovation
Roger Trapp for Forbes: Hyper-collaboration will not completely replace more traditional innovation, acknowledge the consultants. Nor should it be a regarded as a "mantra".
New funding to grow food for a better future
We realize that were only at the beginning of the Bowery journey and we couldnt have asked for a better group of investors to help us grow in this next stage.
What's Slowing the Use of Robots in the AG Industry?
Precision agriculture isn't just rhetoric; it's real-time intelligence flowing into analytics software that transforms that flow into meaningful, practical information that farm managers can react to quickly. That data -- and that process -- have costs and, for the last few years, farmers have been stretched because commodity prices are down.
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