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Detoksifikacija koekstrudata lanenog semena i suncokretove sačme - predviđanje procesa / Detoxification of linseed-sunflower meal co-extrudate: Process prediction
(Univerzitet u Novom Sadu - Naučni institut za prehrambene tehnologije, Novi Sad, 2018)
Već dugi niz godina laneno seme privlači veliku pažnju u ishrani životinja zbog svog izuzetno povoljnog masnokiselinskog sastava i visokog sadržaja α-linelonske kiseline. Ipak, njegova primena u je ograničena zbog prisustva ...
Effects of temperature and immersion time on rehydration of osmotically treated pork meat
(Food Reseach Institute, 2014)
The aim of this work was to investigate the changes in osmotically treated pork meat during rehydration process, using artificial neural network approach, compared to second order polynomial model (obtained using response ...
The Effects of Winter Cover Crops on Maize Yield and Crop Performance in Semiarid Conditions-Artificial Neural Network Approach
(MDPI AG, 2022)
Maize is the most widespread and, along with wheat, the most important staple crop in the Republic of Serbia, which is of great significance for ensuring national food security. With the increasing demand for food and ...
Development of a Novel Rice-Based Snack Enriched with Chicory Root: Physicochemical and Sensory Properties
(MDPI AG, 2022)
A novel rice-based snack enriched with chicory root flour (CRF) was developed by twin-screw extrusion. Chicory (Cichorium intybus L.) is one of the promising medicinal plants for the development of innovative food and may ...
Horned Melon Pulp, Peel, and Seed: New Insight into Phytochemical and Biological Properties
(MDPI AG, 2022)
Artificial neural intelligence was established for the estimation, prediction, and optimization of many agricultural and food processes to enable enhanced and balanced utilization of fresh and processed fruits. The predictive ...
Agricultural Parameters and Essential Oil Content Composition Prediction of Aniseed, Based on Growing Year, Locality and Fertilization Type-An Artificial Neural Network Approach
(MDPI AG, 2022)
Simple Summary The artificial neural network (ANN) model was developed to predict and optimize the aniseed parameters including: plant height, umbel diameter, number of umbels, number of seeds, 1000-seed weight, yield per ...
Prediction of the Production of Separated Municipal Solid Waste by Artificial Neural Networks in Croatia and the European Union
(MDPI AG, 2022)
Given that global amounts of waste are growing rapidly, it is extremely important to determine what amount of waste will be generated in the near future. Accurate waste forecasting is also important for planning and designing ...
Artificial Neural Network as a Tool for Estimation of the Higher Heating Value of Miscanthus Based on Ultimate Analysis
(MDPI AG, 2022)
Miscanthus is a perennial energy crop that produces high yields and has the potential to be converted into energy. The ultimate analysis determines the composition of the biomass and the energy value in terms of the higher ...
Prediction of mechanical extraction oil yield of new sunflower hybrids: artificial neural network model
(Wiley, 2021)
BACKGROUND Sunflower seeds are in the top five most abundant oilseeds in the world, as well as sunflower oil in the edible oils group. Recently, increasing attention has been paid to cold-pressed sunflower oil because less ...
Supercritical Fluid Extraction Kinetics of Cherry Seed Oil: Kinetics Modeling and ANN Optimization
(MDPI AG, 2021)
This study was primarily focused on the supercritical fluid extraction (SFE) of cherry seed oil and the optimization of the process using sequential extraction kinetics modeling and artificial neural networks (ANN). The ...