首页|Findings from Al-Azhar University Advance Knowledge in Machine Learning (Predict ive Machine Learning Model to Assess the Adsorption Efficiency of Biochar-Heavy Metals for Effective Remediation of Soil-Plant Environment)
Findings from Al-Azhar University Advance Knowledge in Machine Learning (Predict ive Machine Learning Model to Assess the Adsorption Efficiency of Biochar-Heavy Metals for Effective Remediation of Soil-Plant Environment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available. According to news reporting out of Assiut, Egypt, by NewsRx e ditors, research stated, "Biochar is crucial for agricultural output and plays a significant role in effectively eliminating heavy metals (HMs) from the soil, w hich is essential for maintaining a soil-plant environment. This work aimed to a ssess machine learning models to analyze the impact of soil parameters on the tr ansformation of HMs in biochar-soil-plant environments, considering the intricat e non-linear relationships involved." Financial supporters for this research include National Nature Science Foundatio n of China; Low Carbon Agriculture And Carbon Neutralization Research Center; Ag ricultural Competitive Industry Discipline Team Building Project of Guangdong Ac ademy of Agricultural Sciences; Science And Technology Planning Project of Guang dong Province China.
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