Agriculture
There are numerous IoT applications in farming such as collecting data
on temperature, rainfall, humidity, wind speed, pest infestation, and
soil content. This data can be used to automate farming techniques, take
informed decisions to improve quality and quantity, minimize risk and
waste, and reduce effort required to manage crops. For example, farmers
can now monitor soil temperature and moisture from afar, and even apply
IoT-acquired data to precision fertilization programs.
In August 2018, Toyota Tsusho began a partnership with Microsoft to
create fish farming tools using the Microsoft Azure application suite
for IoT technologies related to water management. Developed in part by
researchers from Kindai University, the water pump mechanisms use
artificial intelligence to count the number of fish on a conveyor belt,
analyze the number of fish, and deduce the effectiveness of water flow
from the data the fish provide. The specific computer programs used in
the process fall under the Azure Machine Learning and the Azure IoT Hub
platforms.