The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 21, 2023
Filed:
Oct. 20, 2019
Wen-liang Chen, Hsinchu, TW;
Lung-chieh Chen, Hsinchu, TW;
Szu-chia Chen, Hsinchu, TW;
Wei-han Chen, Hsinchu, TW;
Chun-yu Chu, Hsinchu, TW;
Yu-chi Shih, Hsinchu, TW;
Yu-ci Chang, Hsinchu, TW;
Tzu-i Hsieh, Hsinchu, TW;
Yen-ling Chen, Hsinchu, TW;
Li-chi Peng, Hsinchu, TW;
Meng-zhan Lee, Hsinchu, TW;
Jui-yu Ho, Hsinchu, TW;
Chi-yao Ku, Hsinchu, TW;
Nian-ruei Deng, Hsinchu, TW;
Yuan-yao Chan, Hsinchu, TW;
Erick Wang, Hsinchu, TW;
Tai-hsiang Yen, Hsinchu, TW;
Shao-yu Chiu, Hsinchu, TW;
Jiun-yi Lin, Hsinchu, TW;
Yun-wei Lin, Hsinchu, TW;
Fung Ling NG, Hsinchu, TW;
Yi-bing Lin, Hsinchu, TW;
Chin-cheng Wang, Hsinchu, TW;
Wen-Liang Chen, Hsinchu, TW;
Lung-Chieh Chen, Hsinchu, TW;
Szu-Chia Chen, Hsinchu, TW;
Wei-Han Chen, Hsinchu, TW;
Chun-Yu Chu, Hsinchu, TW;
Yu-Chi Shih, Hsinchu, TW;
Yu-Ci Chang, Hsinchu, TW;
Tzu-I Hsieh, Hsinchu, TW;
Yen-Ling Chen, Hsinchu, TW;
Li-Chi Peng, Hsinchu, TW;
Meng-Zhan Lee, Hsinchu, TW;
Jui-Yu Ho, Hsinchu, TW;
Chi-Yao Ku, Hsinchu, TW;
Nian-Ruei Deng, Hsinchu, TW;
Yuan-Yao Chan, Hsinchu, TW;
Erick Wang, Hsinchu, TW;
Tai-Hsiang Yen, Hsinchu, TW;
Shao-Yu Chiu, Hsinchu, TW;
Jiun-Yi Lin, Hsinchu, TW;
Yun-Wei Lin, Hsinchu, TW;
Fung Ling Ng, Hsinchu, TW;
Yi-Bing Lin, Hsinchu, TW;
Chin-Cheng Wang, Hsinchu, TW;
National Yang Ming Chiao Tung University, Hsinchu, TW;
Abstract
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.