Agriculture is one of the most interesting industries for IoT, especially the new generation of LPWAN devices which with its low power requirements and long range perforamnce perfectly fits the typical Smart Farming use cases.

Simple Sensors

Monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, etc.) and automating the irrigation system. Bringing a whole set of data to help you analyze and better approach the farming cycles. By carefully sensing, light level, temperature and humidity farmers optimize the production of any crop, idnetifyin areas where these parameters are not optimal and adivising in time the farmer or directly actuate irrigation system to help improve the environment.

PH sensing is another important parameter to control for better soil fertilization.

Livestock Tracking

Simple trackers for livestock tracking can help the farmer to optimize the cycle. Trackign device come with accelerometers that are used to detect different animal sistuation, from potential illness, to labour in pregnant animals.

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Remote actuated water valves can optimize the irrigation needs of the different cultures, other actuating possibility range from sunshades or temperature controlled greenhouses.

Climate Sensors

Frost Alert ( temperature sensor ) and hail detection.

Machine Learning

The next gernation of IoT sensors which we are working on, consist of Machine Learning on the sensor itself, this opens bigger opportunity in agriculture ranging from Intelligent Insect identification to better predictive information based on patterns that can be identified by normal sensors.
Sound pattern matching is also an area of research that can bring a whelm of other information to farmers handling livestock and identifying potential threats from insects.

Other Animals

Bee Hive monitoring is another example where temperature / humidity / weight control can help in identifying potential dangerous situations in the bee hive.