Computer-vision classification of corn seed varieties using deep convolutional neural network
Automated classification of seed varieties is of paramount importance for seed producers to
maintain the purity of a variety and crop yield. Traditional approaches based on computer …
maintain the purity of a variety and crop yield. Traditional approaches based on computer …
Yield and quality of romaine lettuce at different daily light integral in an indoor controlled environment
B Matysiak, E Ropelewska, A Wrzodak, A Kowalski… - Agronomy, 2022 - mdpi.com
In this study, the effect of different photosynthetic photon flux density (PPFD) provided by
LEDs (Light Emitting Diodes) and photoperiod on biomass production, morphological traits …
LEDs (Light Emitting Diodes) and photoperiod on biomass production, morphological traits …
A comparative analysis of the discrimination of pepper (Capsicum annuum L.) based on the cross‐section and seed textures determined using image processing
E Ropelewska… - Journal of Food Process …, 2021 - Wiley Online Library
The aim of this study was to develop the models based on the texture parameters of images
of selected parts of pepper fruit for cultivar discrimination. This study was aimed to compare …
of selected parts of pepper fruit for cultivar discrimination. This study was aimed to compare …
Machine learning based mass prediction and discrimination of chickpea (Cicer arietinum L.) cultivars
Chickpea is an important edible legume that can be grown in rain fed conditions. Image
analysis and machine learning could be used for rapid and non-destructive determination of …
analysis and machine learning could be used for rapid and non-destructive determination of …
Benchmarking of CNN models and mobilenet-BiLSTM approach to classification of tomato seed cultivars
K Sabanci - Sustainability, 2023 - mdpi.com
In the present study, a deep learning-based two-scenario method is proposed to distinguish
tomato seed cultivars. First, images of seeds of four different tomato cultivars (Sacher F1 …
tomato seed cultivars. First, images of seeds of four different tomato cultivars (Sacher F1 …
Diversity of plum stones based on image texture parameters and machine learning algorithms
E Ropelewska - Agronomy, 2022 - mdpi.com
The objective of this study was to evaluate the usefulness of machine learning based on
image texture parameters to discriminate plum stone cultivars. The plums of cultivars …
image texture parameters to discriminate plum stone cultivars. The plums of cultivars …
Comprehensive Characterization of Date Palm Fruit 'Mejhoul' (Phoenix dactylifera L.) Using Image Analysis and Quality Attribute Measurements
Y Noutfia, E Ropelewska - Agriculture, 2022 - mdpi.com
An in-depth determination of date fruit properties belonging to a given variety can have an
impact on their consumption, processing, and storage. The objective of this study was to …
impact on their consumption, processing, and storage. The objective of this study was to …
The influence of natural preparations on the chemical composition, flesh structure and sensory quality of pepper fruit in organic greenhouse cultivation
J Szwejda-Grzybowska, E Ropelewska, A Wrzodak… - Food Control, 2024 - Elsevier
Due to the emphasis on sustainable development and environmental protection, searching
for new technologies in the production of fruit and vegetables is essential. Organic farming …
for new technologies in the production of fruit and vegetables is essential. Organic farming …
Discrimination of tomato seeds belonging to different cultivars using machine learning
E Ropelewska, J Piecko - European Food Research and Technology, 2022 - Springer
This study was aimed at developing the discriminant models for distinguishing the tomato
seeds based on texture parameters of the outer surface of seeds calculated from the images …
seeds based on texture parameters of the outer surface of seeds calculated from the images …
A comparative evaluation of Bayes, functions, trees, meta, rules and lazy machine learning algorithms for the discrimination of different breeding lines and varieties of …
The objective of this study was to compare the usefulness of machine learning algorithms for
distinguishing the potato lines and varieties based on selected fluorescence spectroscopic …
distinguishing the potato lines and varieties based on selected fluorescence spectroscopic …