Agriculture IoT is often discussed through the lens of field monitoring: soil sensors, weather stations, irrigation control, drones, and crop analytics.
But many operational problems in agriculture happen outside the field.
Greenhouses, crop storage facilities, processing lines, shared machinery, and farm fleets all generate data that can affect product quality, labor planning, asset utilization, and delivery timing. The issue is that this data is often fragmented across separate systems.
A greenhouse system may know the current humidity level. A cold room may track temperature. A processing line may report downtime. A fleet system may show vehicle location. A machinery schedule may live in a spreadsheet.
Each system solves a local problem. But the farm still lacks a unified operational layer.
