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IoT & Machine Learning for Farm Automation by Abdul Azeez is a document available to read on EtoBox.

This document discusses using IoT and machine learning approaches to automate irrigation systems on farms. Specifically, it discusses using sensors in irrigation systems connected to the IoT to monitor soil moisture levels and other variables. Machine learning models can then analyze this sensor data to automatically control irrigation and optimize water usage. The authors aim to develop such an automated and intelligent irrigation system to help farmers irrigate their crops more efficiently.

Author
Abdul Azeez
Language
EN