CROP FIELD MONITORING USING IOT AND MACHINE LEARNING.

      Аннотация: Crop field monitoring is a useful class of sensor network applications, using Internet of Things applications for smart agriculture with enormous potential benefits for farmers and society. This project represents the design and the implementation of a Wireless Sensor Network using the Internet of Things (IoT) that monitors the air temperature, humidity, and life wetness in a crop field and from remote places. The sensor data is wirelessly transmitted to a centrally located computer or mobile terminal that logs the field data within seconds. The data collected can aid the farmers in achieving maximal crop productivity and water management.

Ключевые слова: Machine Learning, Internet of Things, Agriculture Engineering