Agriculture Intelligence's Agroview to Aid USDA Rapid Response Assessment

Agriculture Intelligence is partnering with the University of Florida to conduct a USDA-approved study which will use its flagship product, Agroview, and the latest AI technologies to quickly assess the impact of extreme weather events on agricultural production and provide vital information for the agricultural community.

Agriculture Intelligence, in partnership with the University of Florida, is pleased to announce its participation in the USDA's approval of the Rapid Response Assessment proposal.


This study will use Agriculture Intelligence's flagship product, Agroview, to provide leading-edge technologies and data analysis to quickly assess the impacts of extreme weather events on agricultural production.

In the immediate aftermath of Hurricane Ian, the USDA issued an urgent request. It sought a means to assess the storm impact using advanced remote sensing and deep-learning technologies, such as artificial intelligence (AI). The goal of the USDA request was to provide timely, accurate information to growers and agricultural organizations, enabling them to make informed decisions and minimize losses.

As the leader in the application of deep learning technologies to agriculture, Agriculture Intelligence is at the forefront of this important research. In collaboration with the University of Florida, the team will provide the technical expertise, data collection, and data analysis necessary to conduct the Rapid Response Assessment.

"We are thrilled to be a part of this important project," said Agriculture Intelligence CEO Matthew Donovan. "At Agriculture Intelligence, we already provide growers and agricultural stakeholders with the precision tools they need to improve the quality and quantity of growing fields. This study is a critical step toward responding to acute weather events such as Hurricane Ian. And, we are proud to be collaborating with the University of Florida to make it a reality."

Agriculture Intelligence and UF will begin implementing the Rapid Response Assessment proposal in February with results expected to be available in the near year. Agriculture Intelligence and UF are committed to providing the agricultural community with the vital information it needs to navigate the challenges of extreme weather events.

About Agriculture Intelligence, Inc
Agriculture Intelligence (http://www.agintel.ai) is in Gainesville, Florida. Our mission is to identify and bring to market the most advanced, proven precision agricultural solutions that leverage big data, machine vision, automation, and artificial intelligence. Precision growth, powered by AI. Agriculture Intelligence is the global distributor of the Agroview AI platform (http://www.agroview.ai).

Featured Product

Get enhanced vision-powered systems for Auto Farming!

Get enhanced vision-powered systems for Auto Farming!

e-con Systems leads the way in Agriculture Automation, leveraging over 20 years of expertise in OEM camera design, development, and manufacturing. e-con's diverse camera range, featuring advanced capabilities and partnerships with leading sensor technology providers like Sony, onsemi, and OmniVision, is tailored for various smart farming applications such as weed detection, bug identification, crop health monitoring, and harvesting automation. The recent addition of e-con's 20MP camera captures tiny details, enhancing efficiency in crop monitoring and automated machinery guidance. e-con cameras offer versatile interfaces, exceptional low-light performance, expert ISP tuning, multi-camera support, HDR, long-distance capabilities, and customizable features, empowering agriculture automation. e-con specializes in providing AI-ready multi-camera solutions for real-time decision-making. e-con Systems has empowered numerous clients in the smart farming industry to develop and deploy futuristic agricultural systems, including agricultural robots, autonomous tractors, and drones. As NVIDIA's Elite partner, e-con Systems revolutionizes agricultural applications with deep learning algorithms for NVIDIA Jetson kits, expediting time-to-market for customers.