WSU AgWeatherNet Expands with AI Integration

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  WSU's AgWeatherNet system is the nation's oldest and largest weather network for agriculture“Washington State University’s AgWeatherNet is the nation’s oldest and largest system of its kind, used by farmers and ranchers to track heat and cold, wind and moisture.”
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  WSU's AgWeatherNet system has integrated artificial intelligence“Now, artificial intelligence and machine learning will use the trove of real-time data collected by the system’s nearly 370 weather stations to create more effective tools and computer models.”
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  WSU's AgWeatherNet system operates 370 weather stations across Washington“Washington State University’s AgWeatherNet is the nation’s oldest and largest system of its kind, used by farmers and ranchers to track heat and cold, wind and moisture. It’s a valuable asset for a major industry in the state. Now, artificial intelligence and machine learning will use the trove of real-time data collected by the system’s nearly 370 weather stations to create more effective tools and computer models.”
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  WSU's AgWeatherNet system uses AI to turn real-time weather data into actionable insights for crop and livestock management“Washington State University’s AgWeatherNet is the nation’s oldest and largest system of its kind, used by farmers and ranchers to track heat and cold, wind and moisture. It’s a valuable asset for a major industry in the state. Now, artificial intelligence and machine learning will use the trove of real-time data collected by the system’s nearly 370 weather stations to create more effective tools and computer models. Producers are already able to make improved farm-specific decisions about crops, livestock, and human health using the system.”
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  The upgrade includes monitoring air quality“Recently the stations were upgraded to also monitor air quality, which has become an important element of agricultural work during wildfire season.”
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  The upgrade is a critical addition during wildfire seasonNo usable supporting receipt — unverified.
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  Lav Khot is the director of AgWeatherNet“"It is happening now and we are improving it further," said Lav Khot, director of AgWeatherNet and professor of precision agriculture at WSU.”
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  Lav Khot is a WSU professor“Lav Khot, director of AgWeatherNet and professor of precision agriculture at WSU.”
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  Lav Khot stated, 'It is happening now and we are improving it further. That’s where AI comes in: How can we mine the information from this data and make better management decisions? It’s really changing the game.'“"It is happening now and we are improving it further," said Lav Khot, director of AgWeatherNet and professor of precision agriculture at WSU. "That’s where AI comes in: How can we mine the information from this data and make better management decisions? It’s really changing the game."”
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  The system has already helped producers make farm-specific decisions“Producers are already able to make improved farm-specific decisions about crops, livestock, and human health using the system.”
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  The AI integration aims to further streamline agricultural operations in Washington“Now, artificial intelligence and machine learning will use the trove of real-time data collected by the system’s nearly 370 weather stations to create more effective tools and computer models.”