AgriSense

AgriSense is a technology platform and service that provides real-time agricultural sensing and data analytics for farms and agribusinesses. It combines a network of soil, crop, and microclimate sensors with cloud-based analytics and a web or mobile interface. The system supports precision agriculture by turning sensor readings, weather data, and imagery into actionable recommendations for irrigation, fertilization, pest management, and harvest planning.

Key components include soil moisture and temperature probes, nutrient sensors, plant health indicators such as chlorophyll or canopy imaging, and gateways that transmit data to the cloud. Built-in machine learning models forecast irrigation needs, disease and pest risk, and yield potential. The platform offers API integrations with irrigation controllers, fertigation systems, and farm-management software.

History and deployment: The concept emerged in the early 2010s as part of the wider precision agriculture movement. Since then, AgriSense has been adopted in row crops, orchards, vineyards, and greenhouses, through collaborations with farming cooperatives, agribusiness partners, and research institutions.

Impact and use: By enabling targeted resource use, AgriSense aims to reduce water consumption and chemical inputs, lower production costs, and improve product quality and traceability. Real-time alerts and dashboards help farmers respond to weather events, pest outbreaks, and nutrient imbalances.

Limitations and considerations: Effective deployment requires reliable connectivity, ongoing sensor calibration, and robust data privacy and security measures. User training and local agronomic knowledge remain important for translating data into practical management decisions.