Precision Agriculture Tech Can Address New Fertilizer Shortages

2026-05-28 · Source: IEEE Spectrum · Field: Agriculture & Food Systems — Precision Agriculture & Smart Farming, Artificial Intelligence & Machine Learning, Agricultural Sustainability & Climate · Depth: Intermediate, short

Summary

Global food security concerns, exacerbated by Middle East instability and disruptions in the Strait of Hormuz, have driven urea fertilizer prices up 52 percent in the U.S. and 60 percent in Brazil by mid-April. This volatility makes traditional maximum fertilizer application expensive for farmers. Precision agriculture technologies are emerging to address this by optimizing nutrient delivery. John Deere and Blue River Technology's ExactShot system applies starter fertilizer directly to seeds at planting, potentially cutting use by over 60 percent and saving more than 93 million gallons annually across the U.S. corn crop. Iowa-based N-Sense developed a mobile soil-nitrate sensor using a mid-infrared spectrometer to provide real-time nitrate data, which, combined with machine learning, reduced nitrogen fertilizer by about 30 percent in one field test. Germany's Stenon offers FarmLab, a handheld probe combining optical spectroscopy and electrical measurements with machine learning to generate real-time soil nutrient maps, reducing fertilizer use by around 20 percent and increasing yields by 2 to 8 percent.

Key takeaway

For farmers and agronomists facing volatile fertilizer prices and environmental regulations, adopting precision agriculture technologies is crucial. You can significantly reduce nitrogen fertilizer consumption by 20-60% and improve yields by 2-8% by implementing systems that provide real-time, localized soil and plant nutrient data. Evaluate solutions like John Deere's ExactShot for planting, or N-Sense and Stenon's real-time soil analysis tools, to optimize your nutrient management strategies and enhance profitability.

Key insights

Precision agriculture technologies leverage real-time data and AI to optimize fertilizer application, reducing waste and improving yields.

Principles

• Nitrogen's mobility and invisibility necessitate precise, localized management.
• Real-time soil nutrient data is critical for effective fertilization decisions.
• Integrating diverse data sources enhances fertilizer prescription accuracy.

Method

Combine real-time soil/plant sensing (spectroscopy, impedance) with machine learning and contextual data (weather, yield, satellite) to generate precise, localized fertilizer prescriptions.

In practice

• Implement ExactShot for over 60% starter fertilizer reduction at planting.
• Utilize mobile soil sensors for real-time nitrate mapping and analysis.
• Integrate soil, satellite, and yield data for optimized fertilizer rates.

Topics

• Precision Agriculture
• Fertilizer Management
• Soil Nutrient Sensing
• Machine Learning
• Agricultural Robotics
• Crop Yield Optimization

Best for: Investor, Entrepreneur, Executive, Domain Expert, AI Engineer, Research Scientist

Related on AIssential

• Upside Robotics is reducing fertilizer use and waste in corn crops — Precision agriculture robots can significantly reduce fertilizer waste and improve crop nutrient delivery.
• OneSoil and Rainbow Weather partner to bring hyperlocal AI-powered rainfall forecasting to farmers worldwide — AI-powered hyperlocal precipitation forecasts mitigate agricultural risk by optimizing sensitive fieldwork operations.
• Capturing Tribal Knowledge to Solve the Manufacturing Skills Gap - with Sebastian Dykas of Smith+Nephew — Closing the manufacturing knowledge gap requires capturing expert practices, standardizing training, and leveraging real-time data for process control.
• Quoting Andy Masley — Historical U.S. farmland sales are vast, yet food production increased, discrediting current data center land use concerns.
• Data Solutions for Tailoring Agronomic Support to Meet Regional Needs - with Tami Craig Schilling of Bayer Crop Science — Generative AI provides localized, precise agronomic advice by integrating diverse environmental and genetic data.
• Canopii looks to succeed where past indoor farms have not — Autonomous robotic greenhouses can significantly shrink produce supply chains and operate efficiently with minimal resources.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by IEEE Spectrum.