Internet of things system with prediction of farmland soil status and method for creating model thereof
An IoT system includes a computing module for controlling an integral function of the system and including an analysis unit and a machine learning unit. The analysis unit is capable of operational analysis and creating a predictive model and creating a predictive model according to the data analyzed. The machine learning unit has an algorithm function to create a corresponding learning model. An IoT module is electrically connected to the computing module to serve as an intermediate role. At least one detection unit is electrically connected to the IoT module and disposed in soil to detect data of environmental and soil conditions and sends the data detected to the computing module for subsequent analysis.
1. An internet of things (IoT) system with prediction of farmland soil status, comprising:
a computing module, being a master device for controlling an integral function of the system, further comprising:
a data unit for storing data collected by the system and other necessary data;
an analysis unit, electrically connected to the data unit for receiving or inputting the data, being capable of operational analysis and creating a predictive model, having at least one algorithm, configured to create a work list and a process of the data collected to filter irrelative data and to perform cross-validation to confirm weighting relationship of every single data under different conditions, and creating a predictive model according to the data analyzed; and
a machine learning unit, electrically connected to the analysis unit, having at least one algorithm function, and creating a corresponding learning model to perform false analysis and grouping of subsequent data;
an IoT module, electrically connected to the computing module to serve as an intermediate role; and
at least one detection unit, electrically connected to the IoT module, disposed in soil to detect data of environmental and soil conditions, and sending the data detected to the computing module for subsequent analysis.
2. The internet of things (IoT) system of claim 1 , wherein the computing unit is a background server.
3. The internet of things (IoT) system of claim 1 , wherein the algorithm of the analysis unit is regression analysis.
4. The internet of things (IoT) system of claim 1 , wherein the algorithm function of the machine learning unit is regression algorithm or autoregressive moving algorithm.
5. The Internet of things (IoT) system of claim 1 , wherein the IoT module is a gateway device.
6. The Internet of things (IoT) system of claim 1 , wherein the detection unit is a sensor.
7. The Internet of things (IoT) system of claim 1 , wherein the computing module is further electrically connected to a display unit for receiving data from the computing module and forming a monitor dashboard on the display unit.
8. The internet of things (IoT) system of claim 7 , wherein the display unit is a device with a screen.
9. The internet of things (IoT) system of claim 1 , wherein the computing module electrically connects to a spraying device which is controlled by the computing module to spray an additive for biological stimulation.