Design and Development of Reliable and Automated Hydroponics System

Internet of Things has made possible the arising of new technologies, and one such technology is the advanced hydroponics system, which is studied in this project. Before the use of modern technologies, manual maintenance was done for safeguarding the crops which had disadvantages like time consuming and harder to maintain a huge area of crop. To overcome this, a reliable automated hydroponics system is proposed in this paper. The main purpose of this project is to use machine learning algorithms for predicting the various parameters required for agriculture, and the predicted output will be useful for increasing the productivity of the crop. The detection algorithms used in this application is Convolutional Neural Network and Naive Bayes. These algorithms are designed to predict sensor values and perform comparison analysis. The algorithms are compared against each other in terms of accuracy for calculating the output in a very accurate manner. The testing of these algorithms is to make the correct prediction and to determine the algorithm which performs better than the other. The farmer can easily predict the problem and solve it through values that have been measured using the sensors, and the predicted result of the Machine Learning algorithm.