[HTML][HTML] Critical review on water quality analysis using IoT and machine learning models
Water quality and its management are the most precise concerns confronting humanity
globally. This article evaluates the various sensors used for water quality monitoring and …
globally. This article evaluates the various sensors used for water quality monitoring and …
From fully physical to virtual sensing for water quality assessment: A comprehensive review of the relevant state-of-the-art
Rapid urbanization, industrial development, and climate change have resulted in water
pollution and in the quality deterioration of surface and groundwater at an alarming rate …
pollution and in the quality deterioration of surface and groundwater at an alarming rate …
Groundwater quality forecasting using machine learning algorithms for irrigation purposes
A El Bilali, A Taleb, Y Brouziyne - Agricultural Water Management, 2021 - Elsevier
Using conventional methods to evaluate the irrigation water quality is usually expensive and
laborious for the farmers, particularly in developing countries. However, the applications of …
laborious for the farmers, particularly in developing countries. However, the applications of …
Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models
S Kouadri, CB Pande, B Panneerselvam… - … Science and Pollution …, 2022 - Springer
Forecasting the irrigation groundwater parameters helps plan irrigation water and crop, and
it is commonly expensive because it needs various parameters, mainly in developing …
it is commonly expensive because it needs various parameters, mainly in developing …
[HTML][HTML] Prediction of irrigation water quality parameters using machine learning models in a semi-arid environment
A El Bilali, A Taleb - Journal of the Saudi Society of Agricultural Sciences, 2020 - Elsevier
Abstract Evaluation of the water suitability for irrigation purposes using conventional
approaches is generally expensive because it requires several parameters, particularly in …
approaches is generally expensive because it requires several parameters, particularly in …
Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices
PK Singh, J Rajput, D Kumar, V Gaddikeri… - Ecological …, 2023 - Elsevier
Forecasting water quality parameters helps plan crop selection and irrigation strategies but
is often costly because many parameters are required, particularly in developing nations …
is often costly because many parameters are required, particularly in developing nations …
Multivariate statistics and entropy theory for irrigation water quality and entropy-weighted index development in a subtropical urban river, Bangladesh
Currently, a well-developed combination of irrigation water quality index (IWQIs) and entropy
water quality index (EWQIs) for surface water appraisal in a polluted subtropical urban river …
water quality index (EWQIs) for surface water appraisal in a polluted subtropical urban river …
Water footprint of rice in Iraq
There is a shortage of water and increasing demand for food in Iraq and other areas of the
world will be difficult to meet in the future. Because agriculture is the primary consumer of …
world will be difficult to meet in the future. Because agriculture is the primary consumer of …
Method designing of open drainages
A Fatxulloyev, D Abduraimova… - IOP Conference …, 2020 - iopscience.iop.org
During the construction of open drainages, to achieve economic efficiency, it is very
important an accurate assessment of their parameters and projection size. The article is …
important an accurate assessment of their parameters and projection size. The article is …
Simulation of surface and subsurface water quality in hyper-arid environments
Forty-eight water samples (30 groundwater and 18 surface water samples) were collected
from the study region. Physical and chemical examinations were performed on the water …
from the study region. Physical and chemical examinations were performed on the water …