Insights & research

The field intelligence
journal

Deep dives into AI-driven agriculture, precision farming research, and the future of global food systems.

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How our transformer model achieved 94% harvest prediction accuracy

How our transformer model achieved 94% harvest prediction accuracy across 12 countries

We trained a novel multi-modal transformer architecture on 10 years of satellite imagery, weather station data, and ground truth yield records. Here's what we learned — and what surprised us.

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The farmer's guide to AI-powered irrigation: saving 30% water without losing yield

A step-by-step walkthrough of setting up soil moisture sensors, connecting them to AIfarmharvest, and letting the AI optimize your irrigation schedule automatically.

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What NDVI actually tells you — and where satellite indices fall short

NDVI is one of the most misunderstood tools in precision agriculture. We break down what it measures, its limitations, and how we combine it with 5 other spectral indices for better accuracy.

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Early pest detection with computer vision: a 3-year field study across rice farms in Southeast Asia

We partnered with 340 rice farms across the Philippines, Vietnam, and Thailand to test CV-based pest detection. The results were better — and messier — than we expected.

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How climate change is shifting harvest windows — and how AI adapts in real time

Climate change is making traditional planting calendars unreliable. We analyze how our adaptive forecast models relearn from anomaly seasons and stay accurate.

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Using AIfarmharvest offline: a complete guide for remote farm operations

In areas with poor connectivity, our offline mode is your lifeline. Here's how to configure it, what syncs locally, and how to use voice commands in the field.

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The $4 trillion opportunity: why every agribusiness needs an AI strategy by 2027

A new wave of precision agriculture investment is reshaping global food supply chains. We look at which technologies are delivering real ROI — and which are still hype.

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The Harvest Intelligence Weekly

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