Inorganic ions are an important part of the growth environment of crop plants with the function of regulating physiological activities. Obtaining the absorption information of plant and environmental nutrient ions during the growth process can reveal the nutrient absorption mechanism of plants and assist agricultural researchers or producers in monitoring plant growth status. Using the kinetics of plant ion absorption, we design an online, in-vivo, multi-channel plant ion absorption multi-parameter detection software system. Research in hydroponic environments uses the ion electric signal acquired by the liquid ion selective microelectrode and NI-9205 acquisition card. This signal is then converted into an ion concentration in the software, and then the ion access of absorption kinetics characteristic parameters is realized by automatically fitting the ion concentration depletion curve in real time online. The software system is developed and designed using the LabVIEW software platform combined with the Actor Framework multi-threaded concurrent design mode and object-oriented design ideas to complete modular design. The system includes a user interface, data acquisition, data processing and analysis, and database applications. It also analyzes and builds the asynchronous communication structure between the levels of the multitasking system. It builds an abstract data message interface using the design principles of high cohesion and low coupling to isolate the upper and lower modules to enhance the reliability and scalability of the software. In the data processing and analysis module, the voltage-concentration calibration conversion algorithm that obeys the Nernst equation is embedded, and the specific process of extracting the characteristic parameters of plant ion absorption kinetics is completed. After experimental testing, the system can accurately complete the collection of ion voltage signals; concentration, calibration, and conversion; and the acquisition of characteristic multi-parameters in real time. It can meet the needs of automatic online monitoring of plant ion absorption kinetic characteristic parameters in agricultural scientific research and production. It can also provide a basis for nutrition research and the formulation of cultivation management measures.