Agriculture applications rely on accurate land monitoring, especially paddy areas, for timely
food security control and support actions. However, traditional monitoring requires field …

This paper develops an automatic and reliable nondestructive evaluation (NDE) technique
that enables quantification of the width and depth of subsurface defects of metallic …

The lubricating oil analysis may be used to verify an assessment of the engine's health and
operational conditions, as well as the need for oil changes. The wide sight of oil …

Effective and stable load forecasting is necessary and of great importance in ensuring a
reliable supply of electricity and the security of the power system. However, due to such …

Measurement of gas diffusion coefficient (Dp) of biochar-amended soil (BAS) under varying
conditions is essential for assessing the adsorption capacity and water/gas diffusion in …

In practical applications, imbalanced data has brought great challenges to classification
problems. In this paper, we propose two new methods:(1) a new oversampling method …

The grain moisture content at harvest time is a key factor that limits harvesting windows. The
present study aimed to develop a new methodology to predict wheat moisture content by …

Agriculture plays an important role in all country but in India agriculture is considered as
backbone, in ancient time agriculture plays a vital role in development of the country the …

Floods are among the most frequent highly disastrous hazards affecting life, property, and
the environment worldwide. While various models are available to predict flood …

The sorption-enhanced steam gasification of biomass with an integrated carbon dioxide (CO
2) capture is a promising process for hydrogen production. By using machine learning (ML) …