Soil nutrients play a crucial role in the growth and productivity of crops, which are essential
for meeting the increasing global food demand. However, the traditional methods of soil …

The present article is based on the application of artificial neural network (ANN) in pattern
recognition and classification. The ANN belongs to the family of AI (Artificial Intelligence). In …

Featured Application Python application that uses data science and machine learning to
estimate the main properties of acid tars. Its main advantage is that determinations for acid …

In India the climatic parameters vary too rapidly. In such situation the rain prediction is very
challenging. The classification and regression problem pertaining to rainfall can be …

This article is inspired from the remarkable results exhibited by AI (Artificial Intelligence)
techniques in the field of data analytics. The soft computing approaches such as neural …

Corrosion is a big threat to the functionality and structural integrity of materials based on
iron, demanding robust estimation strategies for timely mitigation. The conventional methods …

To reveal potential geothermal fluid flows and temperature distribution in the Taupo Volcanic
Zone, North Island of the New Zealand Hikurangi subduction zone, we analyzed …

Geophysical methods, traditional tools for studying deep earth properties, in recent years,
have been actively applied in agriculture to utilize their significant strengths, such as quick …

This study investigates machine learning-based methods to measure the pH level accurately
while using inexpensive equipment. The colorimetric method is employed to determine the …