Assessment of groundwater quality for the intent of irrigation in Cuttack using machine learning

作     者：Ekata Gupta Mukta Goyal Mukta Makhija Madhvi Tripathi Abhishek Srivastava 

作者机构：Guru Nanak Institute of Management Delhi India GNDIT Delhi India Department of Computer Application Integrated Academy of Management and Technology Uttar Pradesh India CSA Department Sharda University Greater NoidaUP India Faculty of Management Studies Gopal Narayan Singh University Rohtas Bihar India 

出 版 物：《AIP Conference Proceedings》 

年 卷 期：2025年第3224卷第1期

摘      要：The study and exploration was carried out in the Cuttack district, with 60 samples taken from the well. The pH of groundwater was considered. Electrical conductivity (EC) is one the component that was measured in several locations throughout the research vicinity. It is a major factor in determining irrigation water quality, with 16 samples, considered in light of USSL Salinity Diagram. The chemical quality of groundwater was assessed using machine learning for fourteen different strictures, *** percentage of hydrogen, EC, TDS, TH, Alkalinity, Ca, Mg, Na, K, CO3, HCO3, Cl, SO4 and Fluoride (F), according to APHA guidelinesAccording to the research, the groundwater in the study area was found suitable for agricultural purposes. Machine Learning Concepts with classification techniques have been used to predict the same.