Artificial intelligence with wrapper multioutput regression to identify chemical contents of fresh and dried manure samples using NIR spectroscopy.

Analyzing manure nutrients such as total ammonium nitrogen (NH), dry matter (DM), calcium oxide (CaO), total nitrogen (-N), phosphorus pentoxide (PO), magnesium oxide (MgO), and potassium oxide (KO) helps in fulfilling crop nutritional needs while improving the profitability and a lower risk of pollutants. This study used two Near Infra Red (NIR) spectral datasets of fresh and dried manure. The freshly prepared NHCl, CaO, Ca(OH), PO, MgO, and KO samples were used for spectral signature peak identification and calibration.

Advances in Electrochemical and Catalytic Performance of Nanostructured FeCo O and Its Composites.

It is well established that the excessive and uncontrolled use of fossil fuels and organic chemicals have put a risk to the earth's environment and the life that sustains within it. Carbon-free, sustainable, alternative energy technologies have therefore become the prime focus of current research. Smart inorganic materials have emerged as the potential solution to suffice energy needs and remediate the organic pollutants discharged to the environment.