Fruits Pesticide Analysis Meter

Introduction to  Fruits Pesticide Analysis Meter:
Android operating system, qualitative analysis of pesticide content in food, vegetables, fruits, etc. Using 8-channel testing technology, it can detect 8 samples at a time and display the measurement results at the same time.

Features of  Fruits Pesticide Analysis Meter:
1, multi-channel test, support multiple samples at the same time detection.
2, the test results can be qualitative and quantitative, qualitative display for the inhibition rate, quantitative display results mg/kg (PPM).
3, the host can automatically determine whether the test results are qualified.
4, the instrument comes with embedded micro-printer, and instrument one, you can directly qualitative and quantitative results at the same time print out.
5, with the reaction time setting and qualified standard setting.
6, with automatic preservation of test results, and can query the saved records.
7,7 inch color LCD large screen touch screen display, can be directly click on the screen operation can also be used mouse operation, direct reading, 8-channel color touch LCD screen.
8, the host built-in customer management system, each user can set the password and support multiple users were landing, according to the detection date and detection number access, print, delete storage measurement data.
9, with a network interface, computer operation and independent operation of the instrument.
10, with detection management software, including pesticide detection, data reading, graphical reports on the test results of the sample to read the query, print and other intuitive data analysis.

Computer software features about  Fruits Pesticide Analysis Meter:
1. It has the function of warning of qualified and unqualified coloring.
2. The upper computer software includes pesticide detection, data reading, basic data management, data reporting, graphic reporting, data management and other modules, and functions such as reading, editing, statistics, management, query, and printing of sample detection results.