FOR IMMEDIATE RELEASE
AgriGates Launches AgTagRM1: A Next-Generation Research Sensor for Animal Welfare and Behavioral Insight for Machine Learning
Denver, CO – April 9, 2025 — AgriGates is proud to announce the launch of its newest hardware innovation: the AgTagRM1, a research-grade animal welfare sensor designed to set a new benchmark for high-frequency, high-quality data collection in animal behavior and movement studies.
Purpose-built for research environments, the AgTagRM1 features a powerful 9-axis IMU (inertial measurement unit) that collects both raw and processed accelerometer, gyroscope, and magnetometer data. With a built-in real-time clock and a 10Hz sampling rate, the device captures over 16 million data points per day, enabling unprecedented precision in behavioral analysis across any livestock species.
“When we first began applying machine learning to animal sensor data, we were struck by how limited existing tools were,” said Daniel Foy, Co-Founder and CEO of AgriGates. “Many systems lacked resolution, omitted raw outputs, or relied on black-box algorithms. With AgTag, we’ve addressed these issues head-on by delivering structured, transparent, and research-ready data for Machine learning and AI”
A unique advantage of the AgTagRM1 is its support for quaternion outputs—a method for representing device orientation in 3D space. This allows researchers to accurately assess the directionality of movement and provides flexibility in mounting, whether on the neck, ear, or leg. AgriGates currently offers two enclosure designs with a third (leg tag) in development and can accommodate custom enclosures based on species or research needs.
While battery life and device size remain a natural tradeoff, the AgTagRM1 prioritizes data fidelity—a crucial factor at this early stage of machine learning model development in precision livestock research.
To streamline workflows, AgTagRM1 offloads data via Bluetooth, removing the need for USB tethering. For installations with six or more sensors, AgriGates includes a dedicated AgOnSite edge computer, which manages devices, automates data retrieval, and stores samples locally in a PostgreSQL database. This structured format integrates seamlessly with tools such as R, Python, and AgNotate—AgriGates’ proprietary annotation and ML preparation platform.
The AgTagRM1 is fully integrated with AgNotate, enabling researchers to annotate raw sensor data and construct robust machine learning training datasets. Recent upgrades to AgNotate include:
- 10x faster data loading from CSV
- Advanced SQL control
- Multi-sensor and multi-camera tabbed viewing
- Powerful new annotation tools to support simultaneous data streams
“AgTag is more than just a sensor—it’s a step forward in precision livestock research and behavioral AI,” said Foy. “We’re excited to help the research and industry community unlock deeper insights through better data and achieve ground-breaking research in animal behavior and welfare.”
About AgriGates
Founded in 2020 in Philadelphia, PA, with its engineering team based in Colorado, AgriGates is a trailblazer in the field of food animal agricultural technology. The company is committed to advancing animal welfare and sustainability through innovative machine learning and data-driven solutions. At the heart of AgriGates’ mission is a belief in farmer-owned data ecosystems, ensuring transparency, control, and value for producers, Industry and researchers alike.
Media Contact:
Daniel Foy
CEO, AgriGates
📧 info@agrigates.io
🌐 www.agrigates.io