Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique
SS Swain, TK Khura, PK Sahoo, KA Chobhe… - Scientific Reports, 2024 - nature.com
An accurate assessment of nitrate leaching is important for efficient fertiliser utilisation and
groundwater pollution reduction. However, past studies could not efficiently model nitrate …
groundwater pollution reduction. However, past studies could not efficiently model nitrate …
A hybrid machine learning model for modeling nitrate concentration in water sources
A Mazraeh, M Bagherifar, S Shabanlou… - Water, Air, & Soil …, 2023 - Springer
Nitrate is one of the most dangerous contaminants that can pollute water sources; as a
result, it is always tried to use accurate methods to monitor its quantity. The goal of this study …
result, it is always tried to use accurate methods to monitor its quantity. The goal of this study …
Effects of slow-release fertilizers on nitrate leaching, its distribution in soil profile, N-use efficiency, and yield in potato crop
H Zareabyaneh, M Bayatvarkeshi - Environmental earth sciences, 2015 - Springer
The purpose of the present study was to study the effect of slow-release fertilizers on nitrate
leaching, its distribution in soil profile, N-use efficiency (NUE), and yield in potato cultivation …
leaching, its distribution in soil profile, N-use efficiency (NUE), and yield in potato cultivation …
Sustaining struvite production from wastewater through machine learning based modelling and process validation
K Nageshwari, V Senthamizhan… - … Energy Technologies and …, 2022 - Elsevier
The looming scarcity of phosphorus rock and intensification of its extraction for fertilizing
applications has triggered the researchers to work upon a potential alternative such as …
applications has triggered the researchers to work upon a potential alternative such as …
Attributes of natural and synthetic materials pertaining to slow-release urea coating industry
MY Naz, SA Sulaiman - Reviews in Chemical Engineering, 2017 - degruyter.com
Urea is one of the spirited input materials for plant growth. However, more than half of
conventional urea applied to the soil may not reach the plants and be washed off by rain and …
conventional urea applied to the soil may not reach the plants and be washed off by rain and …
Predicting subgrade resistance value of hydrated lime-activated rice husk ash-treated expansive soil: A comparison between M5P, support vector machine, and …
Resistance value (R-value) is one of the basic subgrade stiffness characterizations that
express a material's resistance to deformation. In this paper, artificial intelligence (AI)-based …
express a material's resistance to deformation. In this paper, artificial intelligence (AI)-based …
Release mechanisms and kinetic models of gypsum–sulfur–zeolite-coated urea sealed with microcrystalline wax for regulated dissolution
In this study, a mineral-based coated urea was fabricated in a rotary pan coater using a
mixture of gypsum/sulfur/zeolite (G25S25Z50) as an effective and low-cost coating material …
mixture of gypsum/sulfur/zeolite (G25S25Z50) as an effective and low-cost coating material …
New hybrid predictive modeling principles for ammonium adsorption: The combination of Response Surface Methodology with feed-forward and Elman-Recurrent …
In the present study, hybrid prediction models were used to estimate the adsorption of
ammonium from landfill leachate by using zeolite in batch and column systems. The effects …
ammonium from landfill leachate by using zeolite in batch and column systems. The effects …
Prediction of UCS of fine-grained soil based on machine learning part 2: comparison between hybrid relevance vector machine and Gaussian process regression
The present research employs the models based on the relevance vector machine (RVM)
approach to predict the unconfined compressive strength (UCS) of the cohesive virgin (fine …
approach to predict the unconfined compressive strength (UCS) of the cohesive virgin (fine …
Formulation optimization and performance prediction of red mud particle adsorbents based on neural networks
L Li, Y Wang, W Wang - Molecules, 2024 - mdpi.com
Red mud (RM), a bauxite residue, contains hazardous radioactive wastes and alkaline
material and poses severe surface water and groundwater contamination risks …
material and poses severe surface water and groundwater contamination risks …