ALPHARETTA, Ga. — Farmwave recently released a whitepaper unveiling its new harvest loss analysis technology, while taking a hard look at how Artificial Intelligence is portrayed in agriculture.
Farmers face an overwhelming amount of information and new technologies claiming to improve the productivity of their farms. The agriculture industry has looked to precision farming tools and AI to automate many of the manual processes that consume valuable time and resources.
However, despite the promise of these new technologies, many challenges have yet to be solved.
“One of the hardest problems in agriculture is increasing yield and reducing loss,” said Craig Ganssle, Farmwave’s founder and CEO.
“Farmers battle against weather, equipment issues, and ultimately time during harvest. While we can’t control the weather, our technology helps farmers see in real-time how much of their harvest is being lost so they can make adjustments- potentially saving them hundreds of thousands of dollars.”
Using Farmwave’s image analysis tools to get real-time metrics on what’s being left behind helps machinery operators reduce waste in the field.
The proprietary Cloud Optimized Recognition Engine brings Farmwave’s cutting-edge AI, machine learning and deep learning techniques to the field through their web-based application.
Farmwave’s CORE ingests detailed data from sensors, machinery and software and is designed for compatibility with popular agriculture software platforms.
“In today’s low-margin environment, every bushel counts,” said Jake Smoker, owner and operator of Smoker Farms. “With Farmwave, I feel more confident knowing that I got every bushel out there.”
To read the whitepaper, visit www.farmwave.io/whitepapers.