Research in Agricultural Engineering, 2024 (vol. 70), issue 3
The effect of parameter adjustment in sago palm classification-based convolutional neural network (CNN) modelOriginal Paper
Sri Murniani Angelina Letsoin, David Herák
Res. Agr. Eng., 2024, 70(3):123-133 | DOI: 10.17221/65/2023-RAE 
In our study location, Merauke Regency, the easternmost city in Indonesia, the sago palm is associated with different types of ecosystems and other non-sago vegetation. During the harvesting season, the white flowers blossoming between the leaves on the tops of palm trees may be distinguished manually. Four classes were determined to address the visual inspections involving different parameters that were examined through the metric evaluation and then analysed statistically. The computed Kruskal-Wallis test found that the parameters vary in each network with a P-value of 0.00341, with at least one class being higher than the others, i.e., non-sago...
Detecting adulteration in mustard oil using low-frequency dielectric spectroscopyOriginal Paper
Venkatesh Mishra, Satyendra Pratap Singh, Sumit Kaur Bhatia, Vishal Singh Chandel, Rajiv Manohar
Res. Agr. Eng., 2024, 70(3):134-142 | DOI: 10.17221/108/2023-RAE
This paper presents a dielectric spectroscopy approach for analysing the quality of food products. This study aimed to detect the adulteration in mustard oil using dielectric spectroscopy in the 1 to 10 MHz frequency range at a temperature of 30 to 50 °C. The dielectric data were used to predict the adulteration in oils at the given frequency range. The finding indicates that using data analysis techniques can further improve the capacity of dielectric sensing to detect adulterated edible oil. Using MATLAB R2021a, linear relationships between the frequency and adulteration percentage variables were obtained to predict the dielectric constant...
The effect of stimulants on the responsiveness and biorhythms of young operators of agricultural machineryOriginal Paper
Veronika Hartová, Jan Hart
Res. Agr. Eng., 2024, 70(3):143-154 | DOI: 10.17221/4/2024-RAE
Fatigue behind the wheel has been addressed repeatedly for at least 15 years. Various research projects, studies, and systems have been developed to prove the effect of fatigue on the number of accidents and possibly to inform drivers that this situation has occurred. The article examines the influence of stimulants on the fatigue of young agricultural machinery drivers. Commonly available means for reducing driver fatigue were chosen as stimulants (coffee, tea, maté, guarana, energy drink, lemon extract with sugar). A special test station with automatic reaction time evaluation was developed to test drivers’ reaction ability (responsiveness)....
Advancements in fuzzy expert systems for site-specific nitrogen fertilisation: Incorporating RGB colour codes and irrigation schedules for precision maize production in BangladeshOriginal Paper
Bitopi Biswas, Mohammad Tariful Alam Khan, Mohammad Billal Hossain Momen, Mohammad. Rashedur Rahman Tanvir, Abu Mohammad Shahidul Alam, M Robiul Islam Islam
Res. Agr. Eng., 2024, 70(3):155-166 | DOI: 10.17221/35/2024-RAE
The research was conducted at the Department of Agronomy and Agricultural Extension, Rajshahi University, from December 2021 to April 2022. The objective was to develop a fuzzy expert system for site-specific N fertilisation using leaf colour code (RGB) and irrigation frequencies for maize yield. The experiment encompassed two primary factors: nitrogen fertiliser application rates (N1: 100%, N2: 75%, N3: 50% of conventional rates) and irrigation frequencies (I1: 100%, I2: 75%, I3: 50% of pan evaporation). A completely randomised design...
The efficiency of unmanned aerial vehicles application for rapeseed productivity in UkraineShort Communication
Fedir Melnychuk, Svitlana Alekseeva, Oleksandra Hordiienko, Oleksii Nychyporuk, Andrii Borysenko, Nataliia Didenko
Res. Agr. Eng., 2024, 70(3):167-173 | DOI: 10.17221/87/2023-RAE
In modern conditions, high-precision technologies, such as unmanned aerial vehicles (UAVs), are the basis for increasing the efficiency of agricultural land use and crop productivity. Nowadays, new technology development needs to be improved, so the study and the implementation of various innovations in this field are quite relevant and important. The research aimed to find effective pesticides and a selection of spraying solution norms to increase rapeseed yield. The least significant difference test was used to separate the means of the dependent variables in response to predictor variables at P ≤ 0.05. It was established that herbicides...
Effect of physical energy on germination and seedling vigor of alfalfa seeds (Medicago sativa L.)Short Communication
Ali Hajizadeh Namin, Abbas Akbarnia, Rouzbeh Abbaszadeh, Ali Zenouzi, Majid Masoumian
Res. Agr. Eng., 2024, 70(3):174-180 | DOI: 10.17221/114/2023-RAE
Recently, non-thermal technologies have emerged as a means to ensure the safety of agricultural products while also promoting plant growth and reducing pathogenic and chemical contamination of seeds. An experiment was conducted to investigate the effect of various treatments on the germination characteristics of alfalfa seeds. The experiment utilised a completely randomised design with five treatments and three replications, including cold plasma exposure, direct current (DC) electromagnetic field, magnetic field, and a combination of plasma exposure with magnetic and electromagnetic fields. The treated seeds were compared to the control seeds (without...