首页|Data on Machine Learning Reported by Zerui Feng and Colleagues (Co-exposure to m icroplastics and soil pollutants significantly exacerbates toxicity to crops: In sights from a global meta and machinelearning analysis)
Data on Machine Learning Reported by Zerui Feng and Colleagues (Co-exposure to m icroplastics and soil pollutants significantly exacerbates toxicity to crops: In sights from a global meta and machinelearning analysis)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news originating from Guiyang, People's Repu blic of China, by NewsRx correspondents, research stated, "Environmental contami nation of microplastics (MPs) is ubiquitous worldwide, and co-contamination of a rable soils with MPs and other pollutants is of increasing concern, and may lead to unexpected consequences on crop production. However, the overall implication s of this combined effect, whether beneficial or detrimental, remain a subject o f current debate." Our news journalists obtained a quote from the research, "Here, we conducted a g lobal meta and machine-learning analysis to evaluate the effects of co-exposure to MPs and other pollutants on crops, utilizing 3346 biological endpoints derive d from 68 different studies. Overall, compared with control groups that only exp osure to conventional soil contaminants, co-exposure significantly exacerbated t oxicity to crops, particularly with MPs intensifying adverse effects on crop mor phology, oxidative damage, and photosynthetic efficiency. Interestingly, our ana lysis demonstrated a significant reduction in the accumulation of pollutants in the crop due to the presence of MPs. In addition, the results revealed that pote ntial adverse effects were primarily associated with crop species, MPs mass conc entration, and exposure duration."
GuiyangPeople's Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
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