Yield and quality prediction of winter rapeseed—Artificial neural network and random forest models
As one of the greatest agricultural challenges, yield prediction is an important issue for
producers, stakeholders, and the global trade market. Most of the variation in yield is …
producers, stakeholders, and the global trade market. Most of the variation in yield is …
Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
With the aid of models used in artificial intelligence, a wide range of data can be processed
quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during …
quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during …
Productivity and flower quality of different pot marigold (Calendula officinalis L.) varieties on the compost produced from medicinal plant waste
V Filipović, V Ugrenović, V Popović… - Industrial Crops and …, 2023 - Elsevier
This article describes still insufficiently known technology of pot marigold cultivation with the
compost produced from the organic waste of the processing of medicinal plants. For the first …
compost produced from the organic waste of the processing of medicinal plants. For the first …
The effects of winter cover crops on maize yield and crop performance in semiarid conditions—Artificial neural network approach
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 …
Republic of Serbia, which is of great significance for ensuring national food security. With the …
Comparison of Different Machine Learning Models for Modelling the Higher Heating Value of Biomass
The aim of this study was to investigate the potential of using structural analysis parameters
for estimating the higher heating value (HHV) of biomass by obtaining information on the …
for estimating the higher heating value (HHV) of biomass by obtaining information on the …
Agricultural parameters and essential oil content composition prediction of aniseed, based on growing year, locality and fertilization type—An artificial neural network …
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 …
optimize the aniseed parameters including: plant height, umbel diameter, number of umbels …
Model for determining noise level depending on traffic volume at intersections
The negative external effects caused by traffic growth have been recognized as the main
factors that degrade city quality of life. Therefore, research around the world is being …
factors that degrade city quality of life. Therefore, research around the world is being …
Estimation of the storage properties of rapeseeds using an artificial neural network
Rapeseed losses during storage can lead to undesirable difficulties in oil and biodiesel
production. In this paper, three artificial neural networks were created to anticipate the main …
production. In this paper, three artificial neural networks were created to anticipate the main …
Artificial neural network as a tool for estimation of the higher heating value of miscanthus based on ultimate analysis
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 …
converted into energy. The ultimate analysis determines the composition of the biomass and …
Horned melon pulp, peel, and seed: New insight into phytochemical and biological properties
Artificial neural intelligence was established for the estimation, prediction, and optimization
of many agricultural and food processes to enable enhanced and balanced utilization of …
of many agricultural and food processes to enable enhanced and balanced utilization of …