Artificial neural networks as a major soft-computing technology have been extensively
studied and applied during the last three decades. Research on backpropagation training …

It is of critical importance to understand the relationships between crop yield, soil properties
and topographic characteristics for agricultural management. This study's objective was to …

In saline fields, irrigation management often requires understanding crop responses to soil
moisture and salt content. Developing models for evaluating the effects of soil moisture and …

The essential oil obtained from rhizome of turmeric (Curcuma longa L.) is highly valued
worldwide for its medicinal and cosmetic uses. Lack of requisite high oil containing …

This study systematically reviews the integration of artificial intelligence (AI) and remote
sensing technologies to address the issue of crop water stress caused by rising global …

This paper introduces a novel hybrid approach, combining machine learning algorithms with
feature selection, for efficient modelling and forecasting of complex phenomenon governed …

The recent and significant technological advances applied to biology places the researchers
in front of an unprecedented new influx of large data set from different levels as genomics …

Abstract Cumin (Cuminum cyminum Linn.) is valued for its aroma and its medicinal and
therapeutic properties. A supervised feedforward artificial neural network (ANN) trained with …

Leaf area (LA) is a crucial biophysical variable that is indispensable for many physiological
and agronomic models. A reliable and accurate model based on artificial neural networks …

The drug yielding potential of turmeric (Curcuma longa L.) is largely due to the presence of
phyto-constituent 'curcumin.'Curcumin has been found to possess a myriad of therapeutic …