Smarter Fungicide and Nitrogen Decisions with AI
Every growing season, farmers are forced to make expensive decisions long before they know the outcome.
Should fungicide be applied now—or can it wait?
Does this field truly need more nitrogen?
Which acres deserve additional investment, and which ones don't?
For decades, many of those decisions have relied on experience, scouting, weather forecasts, and educated guesses. While those tools remain valuable, new technology is giving growers another advantage: data collected before problems become visible.
In this episode of the Farm4Profit Podcast, recorded at Tech Hub LIVE, we sit down with Kristine White, CEO of Spornado, and Jackson Stansell, CEO of Sentinel Ag, to discuss how precision agriculture continues moving beyond simply collecting information toward delivering actionable recommendations.
Detecting Disease Before You Can See It
One of the biggest challenges with foliar diseases is timing.
By the time symptoms become visible, disease has often been active for days—or even weeks.
Kristine White explains how Spornado changes that timeline by capturing airborne fungal spores before disease symptoms appear in the field. Instead of waiting for visual scouting, growers can begin monitoring disease pressure earlier and make more informed fungicide decisions.
The discussion also covers:
Airborne spore detection
Disease forecasting
Predictive disease modeling
Fungicide resistance testing
Automated disease alerts
Improving fungicide timing
The result is another layer of information that may help reduce unnecessary applications while protecting yield when disease risk is increasing.
Making Nitrogen Decisions with Satellite Data
Nitrogen management has become one of agriculture's most important—and expensive—management decisions.
Too little nitrogen can reduce yield potential.
Too much nitrogen can hurt profitability while increasing environmental concerns.
Jackson Stansell explains how Sentinel Ag combines satellite imagery, weather data, soil characteristics, and proprietary calibration plots to estimate nitrogen needs throughout the season.
Rather than treating every acre the same, growers can identify where additional nitrogen is likely to generate a return—and where it may not.
The conversation also explores:
Satellite imagery
Variable-rate nitrogen management
Weather integration
Soil analysis
Nutrient efficiency
Water management
Manure applications
Precision recommendations
Where Artificial Intelligence Fits
Artificial intelligence continues becoming part of nearly every discussion surrounding agriculture.
Rather than replacing agronomists or crop consultants, both guests describe AI as another tool that can process massive amounts of information quickly and provide better decision support.
From identifying disease trends to predicting nutrient demand, AI has the potential to help farmers make more confident management decisions while reducing unnecessary input costs.
Technology That Supports Better ROI
Every new tool eventually comes back to one question:
Does it improve profitability?
Throughout the conversation, Kristine and Jackson emphasize that technology only creates value when it helps farmers make better decisions—not simply collect more data.
Whether it's preventing an unnecessary fungicide application or identifying fields that truly need additional nitrogen, better information can improve return on investment while reducing uncertainty throughout the season.
Topics Discussed
Disease forecasting
Airborne fungal spore detection
Fungicide timing
Fungicide resistance testing
Satellite imagery
Nitrogen management
Water management
Nutrient efficiency
Crop scouting
AI in agriculture
Retail agronomy
Startup innovation
Precision agriculture
Return on investment
If you're looking for practical ways to make smarter crop management decisions before writing another input check, this episode offers an inside look at technologies that are helping farmers do exactly that.
Listen to the full conversation on the Farm4Profit Podcast, and subscribe for more discussions featuring the innovators shaping the future of agriculture.
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