Template-Type: ReDIF-Article 1.0 Author-Name: Andi Muhibuddin Author-Workplace-Name: Department of Agrotechnology, Faculty of Agriculture, Bosowa University, Makassar, South Sulawesi, Indonesia Author-Name: Zulkifli Maulana Author-Workplace-Name: Department of Agrotechnology, Faculty of Agriculture, Bosowa University, Makassar, South Sulawesi, Indonesia Author-Name: Suryawati Salam Author-Workplace-Name: Department of Social Economic, Faculty of Agriculture, Bosowa University, Makassar, South Sulawesi, Indonesia Author-Name: Syamsia Syamsia Author-Workplace-Name: Department of Agrotechnology, Faculty of Agriculture, Muhammadiyah University, Makassar, South Sulawesi, Indonesia Author-Name: Reta Reta Author-Workplace-Name: Department of Agroindustry, State Agricultural Polytechnic Pangkep, Pangkep, South Sulawesi, Indonesia Author-Name: Arifin Fattah Author-Workplace-Name: Department of Social Economic, Faculty of Agriculture, Muhammadiyah University, Makassar, South Sulawesi, Indonesia Title: The effect of ethanol on potato growth and production at moderate elevation Abstract: Indonesia's current potato cultivation areas are mainly in the highlands (1 000 m above sea level - a.s.l.). However, there are obstacles to potato cultivation in the highlands, including erosion, declining land productivity, limited area, and high production costs (i.e. labour wages, fertilisers, and pesticides). This study was aimed at analysing the effects of both an ethanol application and moderate altitudes on the potato production and quality. This study was conducted at the Horticulture Seed Station in the Ulu Ere subdistrict, Bantaeng Regency, South Sulawesi, Indonesia. A split randomised plot design with two factors was used. The main plots were set at two elevation levels: 500 and 700 m a.s.l. The split plots were subjected to the addition of four ethanol concentration levels: 0, 10, 20, and 30%. The results showed that the ethanol application did not significantly affect the potato growth at the moderate elevation, except for the tuber diameter. Moreover, the 20% ethanol concentration produced better results than the 0% ethanol concentration. The application of 10% ethanol at an altitude of 700 m a.s.l. and 30% ethanol at an altitude of 500 m a.s.l. resulted in the best growth and yield among the studied treatments. Keywords: CO2 concentration, potato quality, Rubisco enzymes, split-plot design Journal: Research in Agricultural Engineering Pages: 113-119 Volume: 68 Issue: 3 Year: 2022 DOI: 10.17221/45/2021-RAE File-URL: http://rae.agriculturejournals.cz/doi/10.17221/45/2021-RAE.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/rae-202203-0001.txt Handle: RePEc:caa:jnlrae:v:68:y:2022:i:3:id:45-2021-RAE Template-Type: ReDIF-Article 1.0 Author-Name: Verónica Córdoba Author-Workplace-Name: LABYMA, INTELYMEC, Faculty of Engineering, National University of the Centre of the Buenos Aires Province (UNCPBA), Olavarría, Buenos Aires, Argentina Author-Workplace-Name: National Scientific and Technical Research Council (CONICET), Argentina Author-Name: Alejandra Manzur Author-Workplace-Name: LABYMA, INTELYMEC, Faculty of Engineering, National University of the Centre of the Buenos Aires Province (UNCPBA), Olavarría, Buenos Aires, Argentina Author-Name: Estela Santalla Author-Workplace-Name: LABYMA, INTELYMEC, Faculty of Engineering, National University of the Centre of the Buenos Aires Province (UNCPBA), Olavarría, Buenos Aires, Argentina Title: Drying kinetics and mathematical modelling of Arundo donax L. canes, a potential renewable fuel Abstract: Arundo donax L. is an energy crop with the potential use as a renewable fuel. This study focused on the drying process of the canes in field and laboratory conditions to determine the effect of the harvest conditioning on the kinetics parameters of whole and slashed canes. The lab drying test was conducted in a thin layer dryer at temperatures between 30 and 80 °C and a 0.5 m.s-1 air velocity. The whole and slashed canes showed faster water evaporation rates as the temperature increased, but the slashed canes achieved a lower final moisture content in a shorter time. The effective diffusion coefficient varied between 3.67 × 10-12 and 1.28 × 10-11 m2.s-1 and showed a significant effect of the temperature, but not between samples; its temperature dependence was determined by the Arrhenius equation giving activation energies of 24.4 and 20.2 kJ.mol-1 for the whole and slashed canes respectively, not significantly different. The modelling of the experimental drying data to six thin layer drying models achieved good performance (R2 > 95.9%), although the Logarithmic model showed the best fit for both samples (R2 > 99.4%). In addition, a temperature dependent equation for the drying constant was included in the Logarithmic model for the whole and slashed canes which predicted with good performance (R2 > 97%) the moisture loss. The developed tools constitute an adequate model for the simulation of the drying process of Arundo donax L. that could be useful for the design of various equipment and systems. Keywords: diffusivity, Fick's diffusion model, giant reed, thin-layer drying Journal: Research in Agricultural Engineering Pages: 120-130 Volume: 68 Issue: 3 Year: 2022 DOI: 10.17221/73/2021-RAE File-URL: http://rae.agriculturejournals.cz/doi/10.17221/73/2021-RAE.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/rae-202203-0002.txt Handle: RePEc:caa:jnlrae:v:68:y:2022:i:3:id:73-2021-RAE Template-Type: ReDIF-Article 1.0 Author-Name: Kuruguntu Mohan Krithika Author-Name: Nachimuthu Maheswari Author-Workplace-Name: School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India Author-Name: Manickam Sivagami Author-Workplace-Name: School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India Title: Models for feature selection and efficient crop yield prediction in the groundnut production Abstract: Tamil Nadu ranks high in groundnut production in India. The yield prediction of the crop over Tamil Nadu will be highly useful in improving the efficiency of the production. This article aims to identify an efficient machine learning model to predict the groundnut crop yield and analyse the performance of the tested models. The study used the irrigation, rainfall, area and production data as factors for the groundnut crop yield across the districts of Tamil Nadu. This article identified the best set of features for training the models and studied various prediction models to evaluate the performance on the collected data. The trained and tested data were evaluated using various performance measures. The results of the study show that LASSO and ElasticNet provide the optimal results with the lowest RMSE and RRMSE values of 491.603 and 490.931 kg.ha-1, 20.68 and 20.66%, respectively. The models showed the lowest MAE and RMAE values as well (333.154 and 331.827 kg.ha-1 and 14.53%, 14.51%, respectively) when compared to other models. The identification of the right time to sow and area to irrigate through feature selection and the prediction of the yield will improve the yield of the groundnut crops. This helps farmers to make practical decisions and reap the benefits. Keywords: experimental models, groundnut yield, performance evaluation, prediction accuracy, subset selection Journal: Research in Agricultural Engineering Pages: 131-141 Volume: 68 Issue: 3 Year: 2022 DOI: 10.17221/15/2021-RAE File-URL: http://rae.agriculturejournals.cz/doi/10.17221/15/2021-RAE.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/rae-202203-0003.txt Handle: RePEc:caa:jnlrae:v:68:y:2022:i:3:id:15-2021-RAE Template-Type: ReDIF-Article 1.0 Author-Name: Martin Olmr Author-Workplace-Name: Department of Technological Equipment of Buildings, Faculty of Engineering, Czech University of Life Sciences Prague (CULS), Prague, Czech Republic Author-Name: Marek Pačes Author-Workplace-Name: Department of Physics, Faculty of Engineering, Czech University of Life Sciences Prague (CULS), Prague, Czech Republic Author-Name: Jan Lešetický Author-Workplace-Name: Department of Technological Equipment of Buildings, Faculty of Engineering, Czech University of Life Sciences Prague (CULS), Prague, Czech Republic Author-Name: Miroslav Přikryl Author-Workplace-Name: Department of Technological Equipment of Buildings, Faculty of Engineering, Czech University of Life Sciences Prague (CULS), Prague, Czech Republic Title: Monitoring the movement of housed animals by means of wireless technology Abstract: Currently, several, more or less, suitable means for detecting, identifying and monitoring the position of housed animals exist. However, these means suffer from various limitations, which could be eliminated with regard to the current technical and technological possibilities. One possible solution could be the use of some wireless technologies from the Internet of Things (Wi-Fi, Bluetooth, Zigbee, etc.). The uninterrupted supervision of individual housed animals would bring important information about the daily routine of individuals and then, based on the deviations from this daily routine, the opportunity to derive their physical and mental state from these deviations would be potentially possible. This article presents a proof of concept of a low-cost monitoring system of the movement of housed animals. The proposed system is able to detect the client's (prototype's) position in the space by means of Wi-Fi (IEEE 802.11 standard) and received signal strength indication (RSSI) technologies. A fingerprint method and a triangulation method of analysing the space are used to calculate the position in space with a resulting accuracy within metres of the real position. Keywords: animal health, IoT, positioning system, tracking, triangulation, Wi-Fi Journal: Research in Agricultural Engineering Pages: 142-149 Volume: 68 Issue: 3 Year: 2022 DOI: 10.17221/66/2021-RAE File-URL: http://rae.agriculturejournals.cz/doi/10.17221/66/2021-RAE.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/rae-202203-0004.txt Handle: RePEc:caa:jnlrae:v:68:y:2022:i:3:id:66-2021-RAE Template-Type: ReDIF-Article 1.0 Author-Name: Petr Jindra Author-Name: Martin Kotek Author-Workplace-Name: Department of Vehicles and Ground Transport, Faculty of Engineering, University of Life Sciences Prague, Prague, Czech Republic Title: Impacts of HHO gas utilisation on the operating parameters in internal combustion engines Abstract: Social pressure is forcing manufacturers to make huge investments in development in order to reduce the harmful emissions of passenger cars. However, there are also cheaper solutions that promise to reduce pollutants with minimal investment. One way is to enrich the fuel/air mixture with HHO gas (oxyhydrogen with a 2:1 ratio of hydrogen and oxygen). HHO gas is produced by the electrolysis of water using the vehicle's electrical system. This study investigated the impact of an HHO generator on the operating parameters of an internal combustion engine. The testing took place on two levels. The first was a laboratory test with an spark ignition (SI) engine connected to a dynamometer where complete load characteristics were measured and the function of the engine in various steady-state modes was monitored. The second was a laboratory test of a compression ignition (CI) engine vehicle in a chassis dynamometer where the engine behaviour was observed during simulated driving. During the measurements, it was clearly demonstrated that there is a serious change in the fuel/air mixture. The HHO gas mixture caused engine control instability. The control unit was not able to sufficiently regulate the engine parameters. During the test on chassis dynamometer, the steady-state regimes did not last long enough for this instability to occur. Keywords: CO2, fuel consumption, hydrogen, internal combustion engine, NOX, particulate matters Journal: Research in Agricultural Engineering Pages: 150-156 Volume: 68 Issue: 3 Year: 2022 DOI: 10.17221/63/2020-RAE File-URL: http://rae.agriculturejournals.cz/doi/10.17221/63/2020-RAE.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/rae-202203-0005.txt Handle: RePEc:caa:jnlrae:v:68:y:2022:i:3:id:63-2020-RAE Template-Type: ReDIF-Article 1.0 Author-Name: Vladyslav Zubko Author-Workplace-Name: Department of Tractors, Agricultural Machinery and Transport Technologies, Engineering and Technology Faculty, Sumy National Agrarian University, Sumy, Ukraine Author-Name: Svitlana Plavynska Author-Workplace-Name: Department of Tractors, Agricultural Machinery and Transport Technologies, Engineering and Technology Faculty, Sumy National Agrarian University, Sumy, Ukraine Author-Name: Volodymyr Plavynskyi Author-Workplace-Name: Department of Tractors, Agricultural Machinery and Transport Technologies, Engineering and Technology Faculty, Sumy National Agrarian University, Sumy, Ukraine Author-Name: Oleksandra Plavynska Author-Workplace-Name: Department of Technical Services, Engineering and Technology Faculty, Sumy National Agrarian University, Sumy, Ukraine Author-Name: Anatolii Saienko Author-Workplace-Name: Department of Tractors, Agricultural Machinery and Transport Technologies, Engineering and Technology Faculty, Sumy National Agrarian University, Sumy, Ukraine Author-Name: Hynek Roubík Author-Workplace-Name: Department of Sustainable Technologies, Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Prague, Czech republic Title: Inactivation of anti-nutrients in soybeans via micronisation Abstract: The soybean (Glycine max) is used as one of the main protein sources in various animal fodders. However, the presence of anti-nutrients significantly reduces the nutritional value of the bean. To solve this problem, the present work is devoted to the inactivation of the anti-nutrients in soybeans by the use of micronisation as a means of thermal treatment. The purpose of the work is to improve the process of soybean micronisation by determining the impact of the process parameters on the soybean's quality and energy performance, namely - the urease activity and specific energy consumption. A multifactor experiment was carried out using an experimental device for the heat treatment of the beans. The influence of the temperature and time of the heat treatment on the level of inactivation of anti-nutrients and the specific energy consumption for beans with different sizes were established. The modes of heat treatment which allow the inactivation of the anti-nutrients in the soybeans to admissible standard values were also defined. The obtained and studied functional dependencies of the quality and energy indices on the technological factors of the soybean micronisation allow one to improve this process and technical means for its implementation in reducing the anti-nutrient content. Keywords: infrared rays, specific energy consumption, thermal treatment, urease Journal: Research in Agricultural Engineering Pages: 157-167 Volume: 68 Issue: 3 Year: 2022 DOI: 10.17221/2/2021-RAE File-URL: http://rae.agriculturejournals.cz/doi/10.17221/2/2021-RAE.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/rae-202203-0006.txt Handle: RePEc:caa:jnlrae:v:68:y:2022:i:3:id:2-2021-RAE