About the winner

Intelinair has been named the winner of the 2026 IoT AgTech Advancement Award for AGMRI, a cloud-based agronomic intelligence platform that transforms complex agricultural data into clear, field-level insights for farmers, agronomists, and advisors.

This marks Intelinair’s second consecutive win in the IoT AgTech Advancement Award category, following its 2025 recognition for AGMRI. The repeat win reflects AGMRI’s continued evolution from a powerful precision agriculture platform into a more interactive, AI-driven agronomic intelligence engine.

AGMRI integrates data from imagery, soil conditions, weather, input applications, and yield results to build a continuously updated view of field performance. By combining IoT-enabled data streams with advanced machine learning, the platform helps identify crop stress, disease pressure, nutrient deficiencies, hybrid performance trends, and operational opportunities that may be difficult to detect through traditional workflows.

The platform’s latest evolution, the AGMRI AI Agent, moves agronomic intelligence beyond dashboards and manual analysis. Advisors can ask complex questions in plain language and receive fast, data-backed answers grounded in agronomic context, field-level performance data, and real-world outcomes. Intelinair’s FAQ describes the AI Agent as purpose-built for agriculture and embedded directly within the AGMRI platform to help users turn complex field data into actionable insights.

Why AGMRI stood out

The IoT AgTech Advancement Award recognizes connected technologies that improve agricultural productivity, sustainability, efficiency, and decision-making. Intelinair stood out for advancing a practical, scalable approach to AI-powered agronomy, where field data is not only collected and visualized, but actively interpreted and transformed into recommendations that support better decisions across every acre.

The AGMRI AI Agent is designed to evaluate agronomic questions across multiple data sources, including imagery, weather, field activity, management records, historical yield, and performance data. This allows advisors and farm operators to analyze hybrid performance, guide in-season decisions, prioritize scouting, assess profitability, and improve precision agriculture workflows through one integrated platform.

Judges recognized AGMRI for helping address one of agriculture’s most persistent challenges: turning large volumes of disconnected data into timely, field-specific decisions. The AI Agent enables agronomic teams to complete complex analyses in seconds, helping advisors scale their expertise across more growers while maintaining consistency, scientific rigor, and operational relevance.

AgTech impact

AGMRI supports a wide range of high-value agricultural use cases, including hybrid placement, seeding rate optimization, in-season scouting, treatment evaluation, harvest planning, profitability analysis, automated reporting, and variable-rate prescription development.

By improving how agricultural data is analyzed and applied, Intelinair helps growers and advisors move from reactive decision-making to proactive, data-driven management. This can support better yield outcomes, more efficient input use, improved scouting prioritization, stronger hybrid selection, and greater profitability over time.

The platform also reflects the broader direction of modern agriculture: connected systems, AI, and field-level data coming together to make precision agriculture more accessible, actionable, and scalable.

Why Intelinair Was Selected

Intelinair earned this year’s recognition for advancing AGMRI beyond traditional agronomic dashboards and into a more interactive, AI-driven decision-support platform. Its AI Agent helps advisors ask complex questions in plain language, analyze large volumes of field-level data, and generate actionable recommendations in seconds.

“Intelinair’s second consecutive win reflects the continued strength and evolution of AGMRI. The platform shows how IoT, AI, and agronomic expertise can come together to solve real operational challenges in agriculture, helping advisors and growers turn complex field data into better decisions at scale.”

Jordan Hayes
IoThinkTank Awards Coordinator