In smart agriculture, connected IoT devices include a variety of IoT sensors (also known as “smart sensors”), such as those used for crop monitoring, livestock tracking, and observing the condition of farm equipment. Unmanned aerial vehicles or drones equipped with lidar collect agricultural data. Here are a few examples of application scenarios.
Scenario 1. Sensors connected to a smartphone app are collecting real-time information about soil conditions such as temperature and moisture. The app combines this information with other data, including weather forecasts, and performs artificial intelligence analysis to make irrigation recommendations. These recommendations are sent to farmers’ mobile devices to help them effectively allocate water resources and make crops grow better in areas affected by drought and climate change.
Scenario 2. “Smart greenhouse” facilities are equipped with IoT technology and artificial intelligence. These technologies monitor conditions within the greenhouse and automatically adjust temperature, light, humidity and irrigation levels when necessary to create the best environment for crop growth.
Scenario 3. Sensors are installed on cows on dairy farms to track their activities, including the number of steps taken and the time they eat and lie down. Because more active cows are generally more motivated, this information can help ranchers determine whether interventions are necessary—changing the animals’ environment to improve their satisfaction, which tends to increase milk production.