The invention discloses an
algae-based
water body comprehensive
toxicity detection
system, which relates to the technical field of
toxicity detection, and comprises an
optical imaging module, a multi-parameter sensing module, an AI intelligent counting module, a
growth curve analysis module and a parameter regulation and control module, cells and grids are recognized through the AI model, a multi-view averaging
algorithm is combined, manual errors are reduced, errors caused by subjective factors and fatigue of a counter are avoided, test
repeatability is improved,
pesticide toxicity test standards are met, high-frequency automatic detection can be achieved, a continuous
growth curve is generated in real time, inhibition inflection points of
algae growth are accurately captured, and the accuracy of the
pesticide toxicity test is improved. Meanwhile, the time stamps of concentration, temperature and illumination data are completely synchronized and stored in a unified
database, the problems that in a traditional test, parameters are recorded dispersedly and are difficult to trace are solved, a unified counting standard and a parameter recording specification are adopted, the method difference of different laboratories and different operators is avoided, the test result has transverse comparability, and the
test efficiency is improved. The
pesticide environment risk is met.