Growth and physiological characteristics of strawberry plants cultivated under greenhouse-integrated semi-transparent photovoltaics

T Petrakis, P Ioannou, F Kitsiou, A Kavga… - Plants, 2024 - mdpi.com
The integration of semi-transparent photovoltaics into the roof of greenhouses is an
emerging technique used in recent years, due to the simultaneous energy and food …

[HTML][HTML] Exergy assessment of infrared assisted air im**ement dryer using response surface methodology, Back Propagation-Artificial Neural Network, and multi …

C Parida, PK Sahoo, R Nasir, LA Waseem… - Case Studies in Thermal …, 2024 - Elsevier
This study deals with the exergy analysis of the thin-layer drying process of apple fruit via an
infrared-assisted air im**ement dryer. In the study, process conditions, namely, drying …

Prospects of cold plasma in enhancing food phenolics: analyzing nutritional potential and process optimization through RSM and AI techniques

MA Shanker, SS Rana - Frontiers in Nutrition, 2025 - frontiersin.org
Consumption of plant-based food is steadily increasing and follows an augmented trend
owing to their nutritive, functional, and energy potential. Different bioactive fractions, such as …

[HTML][HTML] Extraction of phenolic compounds from cherry seeds: A Preliminary Study

Y Dulyanska, LP Cruz-Lopes, B Esteves, JV Ferreira… - Agronomy, 2022 - mdpi.com
Agri-food waste has proved to be a valuable bioresource that can be used to obtain a variety
of valuable materials, ingredients and chemicals. The optimum conditions for extracting …

[HTML][HTML] Quantitative structure-activity relationship, ontology-based model of the antioxidant and cell protective activity of peat humic acids

MV Zykova, KS Brazovskii, KA Bratishko, EE Buyko… - Polymers, 2022 - mdpi.com
Peat humic acids are well known for their wide range of biological effects which can be
attributed to the complex chemical structure of naturally occurring humic substances. One of …

Predictive modeling of antioxidant activity in Syzygium malaccense leaf extracts using image processing and machine learning

AC Gluitz, TLC Oldoni, ID Pitt, VA de Lima - Journal of Food Science and …, 2024 - Springer
S. malaccense, from the Myrtaceae family, is used in traditional medicine and is rich in
flavonoids and phenolic compounds. This study evaluated the antioxidant potential of S …

Utilising artificial neural networks for optimising supercritical CO2 extraction of Pongamia pinnata (L.) seed oil

K Gandhi, B Suryawanshi, Y Jaiswal… - Indian Chemical …, 2024 - Taylor & Francis
The application of various mathematical models in supercritical CO2 extraction processes is
constrained by the high sensitivity to slight variations in process variables. Consequently …

The impact of greenhouse integrated photovoltaics on Aloe vera cultivation

A KAVGA, V THOMOPOULOS… - Notulae Botanicae …, 2024 - notulaebotanicae.ro
In recent years, the global demand for medicinal plants has been rising steadily. This study
focuses on cultivating Aloe vera within a large-scale, pilot smart greenhouse installed at the …

Artificial Neural Network: Optimization and Characterization of α‐Amylase Production from Bacillus velezensis Species

S Bhimana, S Ravindran - Biotechnology and Applied …, 2025 - Wiley Online Library
This article delves into the application of design of experiments methodologies for the
integration of a second‐order definitive screening design (DSD) and artificial neural network …

Development of Prediction Model for Chemicals in Fresh Fruits Using Artificial Neural Network

GB Raj, K Raghuram, VL Varun, DK Sharma… - … Conference on Data …, 2023 - Springer
The objective of this investigation was to construct an artificial neural network (ANN)
prediction model for chemicals like anthocyanin, titratable acidity, total solids soluble (TSS) …