Cited by Enhancing local-scale groundwater quality predictions using advanced machine learning approaches

Investigating the Causal Effects of Anthropogenic Factors on Urban Streams and Lakes Water Quality by Integrating Causal Inference with Interpretable Machine Learning DOI

Shuying Liu,

Jing Xu, Runzi Wang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144626 - 144626

Published: Dec. 1, 2024

Language: Английский

Citations

Optimizing Machine Learning Models with Bayesian Techniques for Prediction of Groundwater Quality Index in Southwest Saudi Arabia DOI

Fahad Alshehri,

Shahfahad,

Atiqur Rahman

et al.

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Language: Английский

Citations

Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning DOI

Min Shen, Zhang Yin-e,

Runqing Zhan

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 290, P. 117570 - 117570

Published: Dec. 24, 2024

Language: Английский

Citations

Assessment of Growth and Physiological Traits of Chenopodium quinoa Lines Under Different Salt Levels DOI

Mehwish Zafar,

Muhammad Shahzad, Muhammad Zubair Akram

et al.

Sarhad Journal of Agriculture, Journal Year: 2024, Volume and Issue: 40(2)

Published: Jan. 1, 2024

IntroductionC henopodium quinoa (Willd.) is cultivated mainly for its edible grains, considered as one of the crops that may be able to maintain food security in this century due remarkable nutritional qualities, such a high protein content, fiber, lipids, free gluten, having considerable amount fatty-acids, Abstract | Elevating salinity level has become worldwide threat agricultural lands.High concentration salts hampers growth plants and yield biomass by impacting major physiological mechanisms i.e., ionic, oxidative osmotic stress.One possible climate resilient strategy introduce new can bear allow irrigation with saline water.Quinoa great potential grow under conditions outstanding nutritious value.Pot based complete block design was conducted COMSATS University Abbottabad, Pakistan during winter season.Five lines (L30, L81, L11, L9, L24) were grown sandy loam soil containing 15 dS m -1 30dS NaCl salt treatments.The results revealed better noticed line L30 L24 30 dSm Salt treatments compared other three lines.Whereas, minimum plant genotype L9 L81 treatments.Highest leaf area, chlorophyll contents, contents noted all condition lines.High levels potassium, calcium magnesium lowest sodium aided resisting stress cause increased both non-saline soil.The present trial recognised maximum salt-tolerant severe stress, it might applied improve quinoa's tolerance later breeding phase.

Language: Английский

Citations

Enhancing local-scale groundwater quality predictions using advanced machine learning approaches DOI

Abhimanyu Singh Yadav, Abhay Raj, Basant Yadav

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122903 - 122903

Published: Oct. 15, 2024

Language: Английский

Citations