Smart Warehousing Using NodeMCU Assisted With Cloud Computing And Machine Learning

Abstract

Smart warehousing is a internet of things based monitoring arrangement. After reap, crops are kept and preserved in a good condition. IoT sensors catch information on the warehouse environment and act rapidly in response of farmers remarks. Using NodeMCU and sensors, this system provides farmers with live temperature and humidity data. The use of proper air conditioning to preserve fruits and vegetables is generally acknowledged. Smart warehousing is utilised in this project to preserve crops by adjusting warehouse factors such as temperature and humidity, as well as withholding ambient circumstances and the atmosphere of the room. The decision to control the temperature is made using a supervised machine learning algorithm called the decision tree algorithm.