Smart Hydroponics System using the IoT techniques (Arduino) has achieved great excellence with the accessibility of different kinds of soil and different regions of temperatures available to train on, many resources are now accessible which can be used to train the sensors to transfer learning and developing a new model . By installing a pH sensor, water sensor, and temperature sensor, it is an essential technique of condition monitoring of soil and farming. Manual examination methods and other traditional techniques are available for agriculture and are complicated with more risk, and also the time taken for governing is high. Old conventional methods should be stopped for the inspection, so the uncertainties become less. To overcome all these problems, a Smart hydroponics System (SHS) can be used to reduce the risk and to maintain the proper nutrition in soil using different sensors. Throughout the project, the main concern was to train the model to achieve good accuracy with a different set of parameters varied to come up with the best SHS model. Also, at last, a proof of concept attempt is made to deploy the model for measuring different soil nutrients into many different classes, such that the model can be used anywhere when required. © 2020, Institute of Advanced Scientific Research, Inc. All rights reserved.