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Artificial intelligence: The next revolution in agriculture

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    The Tyumen Model: Record Yields and Strategic Storage in a Volatile Global Food Market

    The Tyumen Model: Record Yields and Strategic Storage in a Volatile Global Food Market

    Beyond the Harvest: How Tatarstan’s Beet Success Fuels a Global Sugar Reckoning

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    Challenging the Norm: A Profitable Case for Rainfed Carrot Production in Western Ukraine

    Challenging the Norm: A Profitable Case for Rainfed Carrot Production in Western Ukraine

    Beyond 1,500 Tonnes: The Agrotech Formula Behind a Record Root Crop Harvest

    Beyond 1,500 Tonnes: The Agrotech Formula Behind a Record Root Crop Harvest

    91 Tons per Hectare: Deconstructing the Carrot Yield Record from Tort-Gul

    91 Tons per Hectare: Deconstructing the Carrot Yield Record from Tort-Gul

    Siberian Snowfall Slashes Harvest: A Case Study in Climate Volatility and Agricultural Resilience

    Siberian Snowfall Slashes Harvest: A Case Study in Climate Volatility and Agricultural Resilience

    Beyond the Price Drop: Decoding the September Vegetable Slump and Its Agronomic Implications

    Beyond the Price Drop: Decoding the September Vegetable Slump and Its Agronomic Implications

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    The Tyumen Model: Record Yields and Strategic Storage in a Volatile Global Food Market

    The Tyumen Model: Record Yields and Strategic Storage in a Volatile Global Food Market

    Beyond the Harvest: How Tatarstan’s Beet Success Fuels a Global Sugar Reckoning

    Beyond the Harvest: How Tatarstan’s Beet Success Fuels a Global Sugar Reckoning

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    Beyond Beta-Carotene: How Specific Carrot Cultivars and Agronomic Practices Can Potentially Reduce Cancer Risk

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    Challenging the Norm: A Profitable Case for Rainfed Carrot Production in Western Ukraine

    Beyond 1,500 Tonnes: The Agrotech Formula Behind a Record Root Crop Harvest

    Beyond 1,500 Tonnes: The Agrotech Formula Behind a Record Root Crop Harvest

    91 Tons per Hectare: Deconstructing the Carrot Yield Record from Tort-Gul

    91 Tons per Hectare: Deconstructing the Carrot Yield Record from Tort-Gul

    Siberian Snowfall Slashes Harvest: A Case Study in Climate Volatility and Agricultural Resilience

    Siberian Snowfall Slashes Harvest: A Case Study in Climate Volatility and Agricultural Resilience

    Beyond the Price Drop: Decoding the September Vegetable Slump and Its Agronomic Implications

    Beyond the Price Drop: Decoding the September Vegetable Slump and Its Agronomic Implications

    A Market Shifts: The Return of Uzbek Pumpkin and its Global Trade Implications

    A Market Shifts: The Return of Uzbek Pumpkin and its Global Trade Implications

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    Sowing Certainty, Reaping Risk: The High Stakes of Seed Integrity and Genetic Purity

    Sowing Certainty, Reaping Risk: The High Stakes of Seed Integrity and Genetic Purity

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    The Double Blow: Analyzing the Systemic Risks Behind a Pumpkin Crop Collapse

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    The Water Spinach Specialist: A Blueprint for High-Value Specialty Crops and Cooperative Success

    Weathering the Storm: How Vietnamese Farmers and Traders Collaborate to Stabilize the Greens Market

    Weathering the Storm: How Vietnamese Farmers and Traders Collaborate to Stabilize the Greens Market

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    Yakutia Defies the Odds: Harvest Data Reveals a Surge in Arctic Agriculture

    Yakutia Defies the Odds: Harvest Data Reveals a Surge in Arctic Agriculture

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    Beyond the Field: How Cooperative-Led Education is Revolutionizing Garlic and Onion Production

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Artificial intelligence: The next revolution in agriculture

by Tatyana Ivanovich
May 19, 2022
in AGROTECHNOLOGY
0
Artificial intelligence: The next revolution in agriculture

Hidden among all the news about COVID-19, hurricanes and the presidential election, you may have missed one of the most important news stories of the year.

In the center of its campus in Gainesville, the University of Florida is building the most powerful artificial intelligence supercomputer in U.S. higher education. This has been huge news at UF, as it will create exciting new opportunities for faculty, students and researchers. But what does it mean for growers and stakeholders in Florida?

Artificial intelligence is the ability of a computer system to recognize patterns, understand language, learn from experience, solve problems and perform complex tasks. In other words, it’s the ability of a machine to think like a human brain, but to do so faster, more accurately and on a massive scale.

If you’re a grower, you care about every plant and every animal on your farm. Given enough time and manpower at your disposal, you would scrutinize every plant and animal, giving each the exact resources needed to grow to their maximum potential. AI allows you to do just that, putting eyes on millions of variables and coordinating vast amounts of data instantly and with pinpoint accuracy.

AI requires a massive amount of computing power. This is why UF’s partnership with NVIDIA and UF alumnus Chris Malachowsky’s gift of the $70 million supercomputer, named HiPerGator, is such an important tool for agriculture.

To give you an idea of the capacity of UF’s new HiPerGator 3.0 computing system, if every UF student doing homework, every faculty member and scientist conducting research, every facility running logistics and every budget office crunching numbers were all using HiPerGator at the same time, it would only tap about 15 percent of its full capacity.

What can it do with other 85 percent?  That’s for all of us to decide.

Here at UF/IFAS we’re excited about the possibilities of applying AI to solve everyday problems related to supporting Florida’s agriculture industry, feeding the world’s growing population and using natural resources sustainably. AI has the promise to significantly advance our ability to strengthen food chain systems, develop precision breeding of plants and animals, apply robotics in food and agriculture operations, track the location and spread of pests and pathogens, and collect data on agroecosystem services.

In fact, UF/IFAS has already been applying AI to improved agricultural production for many years. HiPerGator will serve to super-boost these efforts and bring new resources to grow AI’s abilities to help Florida’s growers be more productive and save resources. The following are just a few of the areas where UF/IFAS Extension is helping Florida’s growers apply AI research to their production.

Citrus

Yiannis Ampatzidis and his research team at Southwest Florida REC have developed AI-based software called Agroview to analyze and visualize data collected from UAVs, or drones. Instead of spot checks, UAVs can take images of thousands of individual plants and upload them to cloud-based software that analyzes the data to access plant qualities, quantities and growth factors or impacts. The software has a wide range of applications for Florida’s agriculture, including our iconic citrus industry. Developed to help producers take better care of their crops while also saving money, Agroview is such a revolutionary innovation that it recently won UF’s invention of the year award.

http://blogs.ifas.ufl.edu/news/2020/06/04/cloud-based-technology-helps-farmers-count-citrus-trees/

Peanut

Determining the maturity of peanut seed currently requires shelling the hulls from test samples and making a subjective estimate based on seed color. Now Agronomy Department Chair Diane Rowland and her research team have developed a method using hyperspectral imaging and AI to determine peanut seed quality through the hull, allowing peanut farmers to select mature seeds with far greater accuracy and less expenditure of time and labor.

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