At present, pesticide residue testing is done by professionals in the laboratory, because test results are not fast enough for market demand. The process of taking data is cumbersome and error-prone; although some operators have developed wireless pesticide residue detectors. But its' Internet of Things (IoT) system can only upload detection results to the database, and does not carry out subsequent analysis or provide warning services. This study will redesign and implement an IoT pesticide residue detection system, which will allow users to view the detection results through the webpage and mobile app after uploading those results. At the same time, when there are some abnormal situations like missing spare parts or getting abnormal detection results, this system will automatically send a warning message to the relevant person's mobile phone, so the users can fix errors as soon as possible. Besides, this study also designed a sharing function; this function allows users to set conditions to list the filtered detection results, and automatically send the QR code and website address of the detection results list to the user mailbox. Finally, the user can send the QR code or website to other relevant personnel for confirmation of detection results.
