Prediction of agricultural waste compost maturity using fast regions with convolutional neural network (R-CNN)

J Sangeetha, P Govindarajan - Materials Today: Proceedings, 2023 - Elsevier
In agriculture production, the enormous volume of wastage production is a major concern.
Therefore, composting a massive amount of thrash will transform from agricultural wastage …

Classification of dried strawberry by the analysis of the acoustic sound with artificial neural networks

K Przybył, A Duda, K Koszela, J Stangierski… - Sensors, 2020 - mdpi.com
In this paper, the authors used an acoustic wave acting as a disturbance (acoustic vibration),
which travelled in all directions on the whole surface of a dried strawberry fruit in its specified …

An MLP artificial neural network for detection of the degree of saccharification of Arabic gum used as a carrier agent of raspberry powders

K Przybył, K Koszela, A Duda… - … Conference on Digital …, 2021 - spiedigitallibrary.org
Recently the demand for fruit and vegetable juice powders has increased significantly as
there are numerous benefits of using these products in various forms of food. Therefore, it is …

Application of Machine Learning Using Color and Texture Analysis to Recognize Microwave Vacuum Puffed Pork Snacks

T Pawlak, AA Pilarska, K Przybył, J Stangierski… - Applied Sciences, 2022 - mdpi.com
The objective of the study was to create artificial neural networks (ANN) capable of highly
efficient recognition of modified and unmodified puffed pork snacks for the purposes of …

Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algorithm

P Boniecki, M Idzior-Haufa, AA Pilarska… - International Journal of …, 2019 - mdpi.com
Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization
(LVQ) algorithm were used to produce a classifier identifying the quality classes of compost …

Image analysis methods in classifying selected malting barley varieties by neural modelling

AA Pilarska, P Boniecki, M Idzior-Haufa, M Zaborowicz… - Agriculture, 2021 - mdpi.com
Quality evaluation of products is a critical stage in the process of production. It also applies
to the production of beer and its main ingredients, ie, hops, yeast, malting barley and other …

Neural reduction of image data in order to determine the quality of malting barley

P Boniecki, B Raba, A A. Pilarska, A Sujak… - Sensors, 2021 - mdpi.com
Image analysis using neural modeling is one of the most dynamically develo** methods
employing artificial intelligence. The feature that caused such widespread use of this …

[PDF][PDF] Cais-Sokoli nska, D.; Pilarski, K.; Pepli nska, B. Application of Machine Learning Using Color and Texture Analysis to Recognize Microwave Vacuum Puffed …

T Pawlak, AA Pilarska, K Przybył, J Stangierski… - Appl. Sci, 2022 - academia.edu
The objective of the study was to create artificial neural networks (ANN) capable of highly
efficient recognition of modified and unmodified puffed pork snacks for the purposes of …

Quality evaluation of dried carrot obtained in different drying conditions using deep convolutional neural networks

K Koszela, F Adamski, M Szychta… - … on Digital Image …, 2022 - spiedigitallibrary.org
In recent years one can observe a continuous growth of demand for dried vegetables. This
tendency has an impact on the development of dehydrated food market segment in Poland …

Nutritional properties and quality assessment of breaded deep-frozen pollock fish cutlets using neural image analysis

A Duda, C Duda, M Szychta, K Przybył… - … on Digital Image …, 2021 - spiedigitallibrary.org
The aim of the research presented in this work was to develop a model of Artificial Neural
Networks (ANN) with the use of computer image analysis for the qualitative classification of …