AgWearCare

Problem Addressed

The agroforestry industry heavily relies on manual labor, which leads to inefficiencies, low profitability, and health issues for the workers due to poor ergonomics, such as musculoskeletal disorders (MSDs. The main challenges faced by the industry include cost optimization, ensuring worker safety, and promoting their well-being. However, lack of real-time knowledge about worker activities, weather conditions, and physical exertion makes it difficult to address these challenges.

While agriculture undergoes digitalization for sustainability, technology mainly focuses on crop monitoring that relies on expensive image analysis or robotics, neglecting worker monitoring.

There is an opportunity to develop monitoring systems that can manage labor resources and support decision-making for worker productivity and well-being. This could help to address the critical gaps in the current agricultural technology.

Technology

Our solution is AgWearCare, an innovative technology for agricultural management that monitors worker health and crop status in real-time.

AgWearcare uses proprietary wearable devices, a mobile application, and a remote server for seamless data collection and analysis.

The wearable devices monitor physiological parameters, while georeferencing ensures precise location data, in real-time. The innovative algorithm correlates worker sensor data with agriculture crop conditions, transmitted to the cloud for easy access and analysis via a web dashboard or integration with existing platforms.

Our forward-thinking approach prioritizes worker well-being while optimizing agricultural operations, making AgWearCare a cutting-edge solution for the agroforestry sector.

Advantages

Worker-centered – Metrics for workers' physical well-being to prevent health risks, stress, and fatigue.

Ergonomic system – Wearables adapted to agricultural tasks for worker comfort.

Data-driven - Estimates crop status & informs decision-making processes.

Cost-effective - Utilizes normal worker activity for data collection and monitoring.

Versatile - Integrates with existing platforms for seamless operation.

Possible applications

Monitor and analyse employee work patterns and physical well-being to reduce the risk of injuries among agricultural workers.

Assess crop status without the need for complex technology.

Provide data-driven insights for agricultural managers to optimize labour management and crop productivity.