This study examines the impact of noise inside cabin an agricultural tractor on operator, focusing operational parameters: agrotechnical surfaces, speed movement, and tire pressure. Noise measurements were conducted a LANDINI POWERFARM 100 fields access roads. The tests followed HRN ISO 5008:2015 standards for smooth rough tracks, was measured with Metrel Multinorm device using “A” filter, positioned according to 6396:2018 5131:2018 standards. A two-factor analysis variance performed,...

Soybean is regarded as one of the most produced crops in world, presenting a source high-quality protein for human and animal diets. The general objective study was to determine optimal soybean land suitability conduct its mapping based on multicriteria analysis. analysis Geographic Information System (GIS) Analytic Hierarchy Process (AHP) integration, using Sentinel-2 multitemporal images validation. area covered Osijek-Baranja County, 4155 km2 located eastern Croatia. Three criteria...

Soil texture is a vital criterion in most cropland suitability analyses, so an accurate method for the delineation of soil zones necessary. In this study, automated was developed and evaluated these soybean cultivation. A total 255 samples were collected Continental biogeoregion Croatia. Three methods interpolation clay, silt sand content using split-sample five independent random repetitions. An algorithm classification based on United States Department Agriculture (USDA) 12 classes...

The determination of cropland suitability is a major step for adapting to the increased food demands caused by population growth, climate change and environmental contamination. This study presents novel assessment approach based on machine learning, which overcomes limitations conventional GIS-based multicriteria analysis increasing computational efficiency, accuracy objectivity prediction. method was developed evaluated soybean cultivation within two 50 × km subsets located in continental...

While SoilGrids is an important source of soil property data for a wide range environmental studies worldwide, there currently extreme lack evaluating its accuracy against independent ground truth sampling data. This study aimed to provide comprehensive insight into the layers three physical properties representing texture components (clay, silt, and sand contents) using in heterogeneous landscape Croatia. These consisted 686 samples collected within national project at 0–30 cm depth, most...

This paper presents research on the impact of vibrations hand–arm and body system agricultural tractor operators as ergonomic indicators in relation to certain operational parameters. The measurements were conducted a LANDINI POWERFARM 100 production areas access roads Agricultural Veterinary School Osijek. followed ISO 5008:2015 standard, which describes creation test tracks: smooth track m length rough 35 length. Body vibration according prescribed standards HRN 2631-1: 1999/A1:2019...

This paper presents whole-body vibration prediction in an agricultural tractor based on selected operational parameters using machine learning. Experiments were performed a Landini Powerfarm 100 model farmlands and service roads located at the Osijek School of Agriculture Veterinary Medicine. The methodology adhered to HRN ISO 5008 protocols for establishing test surfaces, including smooth m track rugged 35 track. Whole-body vibrational exposure assessments carried out alignment with 2631-1...

The paper presents research on measuring and the possibility of prediction noise levels left right sides operator within cabin an agricultural tractor when moving across various agrotechnical surfaces, considering movement velocity tire pressures while employing machine learning techniques. Noise level measurements were conducted a LANDINI POWERFARM 100 type tractor, aligned with standards (HRN ISO 5008, HRN 6396 5131). obtained values divided into two data sets (left set) processed using...

The high-precision positioning and navigation of agricultural machinery represent a backbone for precision agriculture, while its worldwide implementation is in rapid growth. Previous studies improved low-cost global satellite system (GNSS) hardware solutions fused GNSS data with complementary sources, but there still no affordable flexible framework accuracy assessment machinery. Such method was proposed this study, simulating the actual movement during agrotechnical operations. Four most...

This study presents a micro-scale approach for the cropland suitability assessment of permanent crops based on low-cost unmanned aerial vehicle (UAV) equipped with commercially available RGB sensor. The area was divided into two subsets, subsets A and B containing tangerine plantations planted during years 2000 2008, respectively. fieldwork performed 27 September 2021 by using Mavic 2 Pro UAV commercial in two-step classification process, utilizing: (1) supervised machine learning algorithms...

With the emergence of machine learning methods during past decade, alternatives to conventional geostatistical for soil mapping are becoming increasingly more sophisticated. To provide a complete overview their performance, this study performed cost–benefit analysis four based on five criteria: accuracy, processing time, robustness, scalability and applicability. The evaluated were ordinary kriging (OK), regression (RK), random forest (RF) ensemble (EML) prediction total carbon nitrogen....

The paper depicts sensors in precision agriculture. It encompasses the most significant and frequently used Furthermore, explains main sensor types according to their design, recorded range of electromagnetic spectrum, as well way detection, recording, measuring, representation detected energy. development remote research has provided deeper understanding advantages. installed on soil testing equipment, fertilizing crop protection machinery, picking machinery have been analyzed relative...

Red spicy pepper is traditionally considered as the fundamental ingredient for multiple authentic products of Eastern Croatia. The objectives this study were to: (1) evaluate optimal interpolation method necessary modeling criteria layers; (2) calculate sustainability and vulnerability red cultivation using hybrid Geographic Information System (GIS)-based multicriteria analysis with analytical hierarchy process (AHP) method; (3) determine suitability classes K-means unsupervised...

This study analyses the importance of connection between development smart agriculture and sustainable digital transformation (DT) agri-food sector. The sustainability DT depends on a number complex components, especially information communication technologies (ICT), economic systems. increase in studies this area indicates nature as well interdependencies. Over last few decades innovation, ICT, artificial intelligence (AI) Internet Things (IoT) have significantly affected human activities...

Interpolation accuracy of the soil carbon-to-nitrogen ratio (C/N) has a direct impact on maps for agricultural land management planning, affecting financial gains farmers and environmental contamination. This study aimed to evaluate effect different ordinary kriging parameters interpolation spatial variability C/N. These values were necessary determine potential C/N deficiency five major crops in area during 2017–2019, containing maize, wheat, sunflower, rapeseed soybean parcels. The...

The most valuable protected natural areas, including national parks, are subjected to the increased visitors count and density, threatening environmental sustainability biodiversity conservation. To establish a basis for land management mitigate these influences, novel geographic information (GIS)-based susceptibility zoning method was proposed. study area covered Plitvice Lakes National Park, as oldest largest park in Croatia, using historical 20-year visitor data with 19 tourist hiking...

To evaluate the potential of a machine-learning approach in assessment quantitative changes tractor diesel-engine oil during exploitation, this study aspired to propose regression method reduce frequency expensive and time–consuming engine sampling. The input engine-oil datasets with fresh (Samples A) subsequent 250 working hours B) were sampled for twelve elements two–year exploitation at Belje company. field data collection was performed having deployed six heavy, four–wheel-drive FENDT...

Fertilization is one of the most important components precision agriculture, ensuring high and stable crop yields. The process spatial interpolation soil sample data recognized as a reliable method determining prescription rates for precise fertilization. However, application free open-source geographic information system (GIS) software was often overlooked in process. In this study, fertilization map creation developed using an GIS to enable wider cheaper availability its application. study...

The limitation of deformation, the desired level bearing capacity structural elements and dissipation energy produced by an earthquake ensure sufficient capacity, stiffness ductility structures.These requirements are met buildings which designed constructed in accordance with latest technical regulations for exposed to earthquake.Most existing city Osijek do not meet these requirements.It is possible use a spectrum method purpose considering responses such structures earthquakes their...

The introduction of precision agriculture increased the efficiency plant production, while simultaneously reducing production cost. Precision irrigation can be considered as combination sensors, computer software and systems. has reduced water consumption yields, thus economic profits. development new crop monitoring technologies in been made possible by imaging analysis real-time condition data. aim this study was to describe present state possibilities practice EU Croatia. An overview...

Original scientific

In this study, we propose integrating unmanned aerial systems (UASs) and machine learning classification for suitability prediction of expanding habitats endangered flora species to prevent further extinction. Remote sensing imaging the protected steppe-like grassland in Bilje using DJI P4 Multispectral UAS ensured non-invasive data collection. A total 129 individual units five species, including small pasque flower (Pulsatilla pratensis (L.) Miller ssp. nigricans (Störck) Zämelis),...