Artificial neural network (ANN) is a simplified model of the biological nervous system
consisting of nerve cells or neurons. The application of ANN to food process engineering is …

Background Tea is a globally significant agricultural product, renowned for its economic and
cultural value. The process of tea cultivation and production involves tea plantation …

In the era of Internet of things (IoT), network Connection of an enormous number of
agriculture machines and service centers is an expectation. However, it will be with a …

Ultrasound assisted aqueous two-phase extraction of polysaccharides from Cornus
officinalis fruit was modeled by response surface methodology (RSM) and artificial neural …

In this study, pectinase-assisted extraction of cashew apple juice was modeled and
optimized using a multi-layer artificial neural network (ANN) coupled with genetic algorithm …

A sustainable solar based PVT tea drying system has been developed to minimize the
dependency on the non-renewable commercial tea drying system. In this work, the effect of …

Ongoing and extensive use of pesticides negatively impact the environment and human
health. Microbe-based remediation bears importance as it is an eco-friendly and cost …

Ultrasound assisted aqueous two-phase extraction of polysaccharides from Lilium
lancifolium Thunb was modeled by response surface methodology (RSM) and artificial …

In this study, genetic algorithm–artificial neural network (GA‐ANN) and adaptive neuro‐fuzzy
inference system (ANFIS) models were used for the prediction of drying time (DT) and …

This research established the optimal conditions for alkali-assisted extraction (AAE) of
bioactive polysaccharides from Bletilla striata integrated with response surface methodology …