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AGRICULTURE, COLLIER COUNTY, CUBA, ENVIRONMENTAL SUSTAINABILITY, FLORIDA, FLORIDA SENATE AGRICULTURE COMMITTEE, FLORIDIAN, HARDEE COUNTY, INSTITUTE OF FOOD AND AGRICULTURAL SCIENCES, NATURE, NIK, NIKOS TZIOLAS, NORTH AMERICA, SCIENCE, SUSTAINABILITY, TZIOLAS, U. S. DEPARTMENT OF AGRICULTURE, UF, UNIVERSITY OF FLORIDA
Amina Hassan
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Florida Farmers to Use AI for Hurricane Crop Damage Assessments
- University of Florida researchers report significant crop damage from hurricanes.
- A new AI tool will provide near-real-time crop damage assessments.
- Farmers can simply ask questions about their fields via a chat interface.
Exciting AI Tool for Farmers to Assess Crop Damage
Farmers in Florida might soon have a significant ally in the form of artificial intelligence, especially when it comes to hurricane-related crop damage assessments. On January 24th, researchers from the University of Florida delivered a sobering report to the Senate Agriculture Committee, revealing that just three hurricanes were responsible for an eye-popping $975.8 million in agricultural loss for the state in 2024 alone. After such natural calamities, it often takes a hefty amount of time to get accurate damage reports, but that might change thanks to work being done at UF’s Institute of Food and Agricultural Sciences.
How Farming Tech Can Alter Hurricane Recovery
Nikos Tziolas, who’s leading this project at UF/IFAS, describes the upcoming tool as user-friendly, calling it a chat-based interface driven by satellite imagery. Farmers will be able to simply type out questions, much like one would in a conversation. For example, they could ask, ‘What areas of my field have flooded?’ or ‘How is my crop health stacking up against last year post-storm?’ Tziolas enthusiastically mentioned that a robust cyber infrastructure is in place to download and analyze agricultural data from across the whole Florida region automatically. The aim is to arm farmers—and even ag extension agents—without the need for specialized knowledge to access critical information easily.
Next Steps for AI Adoption in Agriculture
To be clear, while drones are another tool for this kind of assessment, Tziolas believes they tend to come with higher costs, without necessarily offering the analytical prowess found in their AI model. The prototype of this new tool is set for testing at specific farms located in Immokalee and Ona, in Collier and Hardee Counties, respectively. Farmers will have the chance to offer feedback, shaping the final product over the next six months. This tool could very well be up and running in time for next year’s hurricane season, ensuring farmers won’t have to weather the storm alone. Thanks to a grant of $297,000 from the USDA’s National Institute of Food and Agriculture, the development of this technology is taking place at an accelerated pace.
In summary, artificial intelligence is poised to transform how Florida farmers gauge crop damage after hurricanes. With a promising prototype on the horizon, farmers will have the chance to easily access vital information, ultimately helping mitigate the losses incurred during these catastrophic weather events. As the project evolves, the hope is that it will not only aid individual farmers but also enhance the capacity of agricultural extension agents.
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