We are building a scalable, low-cost environmental monitoring solution using QR code-inspired sensor arrays. Each of our AgroQR sensors functions as a passive data collection node, capable of monitoring environmental conditions such as temperature, humidity, soil nutrients, chemical concentrations, and pollutants without the need for power-intensive electronics. Drones equipped with our proprietary scanning software collect this data efficiently, enabling real-time monitoring across large areas at a low cost.
Our sensors can track a wide range of pollutants, including nitrogen dioxide (NO₂), sulfur dioxide (SO₂), and volatile organic compounds (VOCs). By placing AgroQR sensors across different environments, such as urban areas, industrial sites, or waterways, we provide real-time data to help stakeholders make informed decisions on pollution control and mitigation strategies. The flexibility and low cost of our sensors make them ideal for large-scale deployments.
Our initial application focuses on agriculture, addressing gaps in precision farming. Ground-based IoT systems require significant investment in deployment, maintenance, and energy, while imaging solutions lack the precision to provide actionable insights. AgroQR bridges this gap by offering a cost-effective, scalable solution that does not require batteries or continuous data transmission. Instead, drones periodically scan and retrieve data, drastically reducing operational costs.
In addition to agriculture, our solution has significant potential in pollution tracking. The growing demand for environmental monitoring, driven by regulatory requirements and the rising concern about pollution, creates a strong market opportunity. Many industries are under increasing pressure to monitor and reduce their environmental impact. Our system allows businesses and governments to deploy a dense network of sensors that deliver consistent, real-time data.
Our innovation lies in combining chemical sensing with QR-based encoding. By embedding responsive chemical dyes into the QR structure, we transform a visual element into a sophisticated sensor. Each QR code pixel corresponds to a property, such as soil pH or pollutant concentration, and changes its appearance based on chemical reactions. The data is processed through our AgroQR API, which integrates with cloud-based tools for analysis.
AgroQR stands out by combining affordability, sustainability, and scalability. Traditional IoT sensors cost upwards of $500 per unit, while our QR-based solution costs less than 1% of that, allowing widespread deployment. Even if some sensors fail, their low cost ensures redundancy, ensuring reliable data collection across vast areas. Our system is also energy-efficient, requiring minimal power for data collection and processing.
