Remote diagnostics in farms
IoT technology’s remote monitoring capabilities are also being successfully employed outside the realm of mechanical maintenance. IoT devices are being used to collect detailed and timely diagnostic data in a wide array of fields, ranging from medicine to agriculture. Robust data collection has even allowed businesses to automate certain processes and remotely manage production.
An excellent illustration of these capabilities comes from the agricultural industry. Forward-thinking indoor growers and nursery owners have implemented IoT devices to help monitor and manage their plants. In this scenario, a connected device continuously monitors environmental conditions such as temperature, humidity, sunlight, and soil condition.
This remote diagnostics data is then collected using sensor devices, compiled, and organized to help growers analyze long-term environmental trends. IoT devices can also be designed to automatically respond to that environmental data. If the device registers low moisture levels in the soil, for example, it can automatically trigger a watering system to correct it. This kind of functionality both boosts productivity, and reduces overhead costs. Like other IoT applications, the end result is a system that is more efficient, more productive, and less costly.
Soil moisture sensor reports that soil Sensor triggers irrigation of the field is below optimum moisture levels for plant growth. Once sensors detect field has had enough watering, water turns off.