Article
Energy & Fuels
Kamil Krasuski, Damian Wierzbicki
Summary: This study aims to improve the performance of GPS and GLONASS solutions for PPP measurement technology in air navigation by using a linear combination method to enhance positioning accuracy. The research results demonstrate that the optimized algorithm using the weighted mean method can increase the calculation accuracy of aircraft positions.
Article
Engineering, Electrical & Electronic
Risto Ojala, Jari Vepsalainen, Jesse Pirhonen, Kari Tammi
Summary: Intelligent transportation and smart city applications are growing rapidly, and accurate sensor perception of vehicles is crucial. This paper proposes an automated calibration approach for partially connected vehicle environments, utilizing Global Navigation Satellite System positioning information to fit a direct transformation between image and ground plane coordinates. Experimental results show that the camera-based localization accuracy is adequate for many intelligent transportation applications.
IET INTELLIGENT TRANSPORT SYSTEMS
(2023)
Article
Chemistry, Analytical
Mariusz Specht
Summary: Positioning systems are used to determine position coordinates in navigation, with measures of position accuracy including Root Mean Square (RMS) values. However, it has been shown that the normal distribution may not accurately describe the position errors in navigation systems, with alternative distributions such as beta, gamma, logistic, and lognormal distributions providing a better fit.
Article
Environmental Sciences
Mieczyslaw Bakula, Kamil Krasuski, Karol Dawidowicz
Summary: The paper introduces an approach to simultaneously use SDCM and EGNOS corrections for GPS positioning, which improves the accuracy by applying constrained least squares adjustment and Kalman Filter. The results show that the approach provides a more reliable solution for determining 3D coordinates compared to using only a single EGNOS or SDCM system.
Article
Chemistry, Analytical
SungTae Moon, Donghun Lee, Dongoo Lee, Doyoon Kim, Hyochoong Bang
Summary: This paper proposes a fast and energy-efficient scene transition algorithm to minimize collision between drones and increase operating time. The algorithm reduces drone movement distance and uses a multilayer approach to avoid collisions. The experimental system includes robust communication and position estimation.
Article
Agronomy
Rangaswamy Madugundu, Khalid A. Al-Gaadi, ElKamil Tola, Ahmed M. Zeyada, Ahmed A. Alameen, Mohamed K. Edrris, Haroon F. Edrees, Omer Mahjoop
Summary: Understanding the spatial pattern of soil chemical properties and topographic indicators is crucial for agricultural management. This study found significant correlations between elevation, slope, flow accumulation, and crop yields, indicating the importance of water distribution in crop production.
Article
Environmental Sciences
Mieczyslaw Bakula, Marcin Uradzinski, Kamil Krasuski
Summary: This paper presents numerical analyzes of code differential GPS positioning with the use of two Huawei P30 Pro mobile phones. The results show that using the P(L5) code significantly improves the positioning accuracy compared to using the P(L1) code, with average errors of horizontal and vertical coordinates reduced by 60-80%. Based on simulated statistical analysis, a smartphone with P(L5) code can achieve an accuracy of about 0.4 m (3D) with 16 satellites.
Article
Remote Sensing
Rui Wang, Doris Becker, Thomas Hobiger
Summary: To improve the centimeter-level positioning accuracy of real-time kinematic (RTK), an enhanced Kalman filtering procedure is proposed in this study. By adaptively estimating the variance-covariance matrix of double-differenced measurements based on a posteriori residuals, instead of approximating it by an empirical function using satellite elevation angle, the success rate of ambiguity resolution and the reliability of positioning results are enhanced. Moreover, a stochastic model based on robust Kalman filtering is introduced to compute the variance-covariance matrix of double-differenced measurement noise empirically, using a modified version of the IGG III method, for outlier detection and identification, improving the filter performance.
Article
Chemistry, Analytical
Grzegorz Grunwald, Adam Ciecko, Tomasz Kozakiewicz, Kamil Krasuski
Summary: This research focuses on the analysis of the positioning quality of a modified GPS/EGNOS algorithm, with considerations given to different ionospheric models. The results show that the original EGNOS ionospheric model maintains the best accuracy and correlation between horizontal and vertical results among the models examined.
Article
Engineering, Multidisciplinary
Wang Gao, Liwei Liu, Longlei Qiao, Shuguo Pan
Summary: The study systematically analyzed the benefits of quad-frequency signals from Galileo and BDS-3 on long-baseline instantaneous positioning. It proposed an instantaneous decimeter-level positioning model utilizing quad-frequency advantages and evaluated the positioning performance using real data. Results showed that with quad-frequency observations, both Galileo and BDS-3 EWL/WL ambiguities can be reliably fixed with a single epoch, achieving decimeter-level accuracies in north, east, and up directions.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Agronomy
Mino Sportelli, Marco Fontanelli, Michel Pirchio, Christian Frasconi, Michele Raffaelli, Lisa Caturegli, Simone Magni, Marco Volterrani, Andrea Peruzzi
Summary: Testing two autonomous mowers on a tall fescue lawn revealed that using systematic navigation systems improved working efficiency and turf quality compared to mowers following random trajectories. Systematic trajectories resulted in higher efficiency and slightly better turf quality, making them a preferable choice for managing tall lawns.
Article
Computer Science, Information Systems
Antonio Scarfone, Rodolfo Picchio, Angelo del Giudice, Francesco Latterini, Paolo Mattei, Enrico Santangelo, Alberto Assirelli
Summary: The use of digital systems in precision agriculture is increasingly attractive for farmers at every level, but the lack of scientific data to demonstrate quantifiable advantages is slowing down the transition. The starting point of precision agriculture is considered to be the introduction of satellite tractor guidance.
Article
Psychology, Multidisciplinary
S. Alvin Leung
Summary: This article discusses the application of computer-assisted career guidance systems (CACGS) in career interventions. It introduces the development, strengths, and limitations of CACGS, and presents the usage and effects of a CACGS system called Infinity. The findings suggest that CACGS can have a positive impact on users' decision-making difficulties and career adaptability.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Energy & Fuels
Piotr Jaskowski, Piotr Tomczuk, Marcin Chrzanowicz
Summary: Street lighting should achieve normative illuminance levels throughout the roadway. A measurement system concept using GPS RTK technology for partially automating road lighting measurements has been proposed. The system involves measuring illuminance values from lux meters on the roof of a vehicle while driving on a lit road, with localization using a global GPS satellite system equipped with RTK corrections for quick data collection on the lighting parameters of surveyed road sections.
Article
Environmental Sciences
Joshua T. Kelly, Mark Hehlen, Scott McGee
Summary: Cross-correlation of image-pairs from optical and synthetic aperture radar satellite imagery is commonly used to measure glacier flow velocity and quantify glacier dynamics. The accuracy of satellite-derived velocities in temperate alpine regions is poorly known. In this study, flow velocities were measured in situ using an RTK-GPS and correlated with satellite-derived velocity datasets. Optical imagery showed significant gaps in velocity maps due to low coherence, while SAR data achieved better accuracy compared to optical. However, SAR-derived velocities in certain areas showed poor correlation with GNSS-measured velocities, likely due to shifts in backscatter amplitude. SNAP and RETREAT produced the most accurate results in the ablation zone.
Article
Agricultural Engineering
Sergio Castro-Garcia, Rafael R. Sola-Guirado, Jesus A. Gil-Ribes
BIOSYSTEMS ENGINEERING
(2018)
Article
Horticulture
Fernando Aragon-Rodriguez, Sergio Castro-Garcia, Rafael Ruben Sola-Guirado, Jesus A. Gil-Ribes
SCIENTIA HORTICULTURAE
(2019)
Article
Agriculture, Multidisciplinary
Jorge Martinez-Guanter, Pablo Aguera, Juan Aguera, Manuel Perez-Ruiz
PRECISION AGRICULTURE
(2020)
Article
Chemistry, Analytical
Jorge Martinez-Guanter, Angela Ribeiro, Gerassimos G. Peteinatos, Manuel Perez-Ruiz, Roland Gerhards, Jose Maria Bengochea-Guevara, Jannis Machleb, Dionisio Andujar
Article
Agronomy
Orly Enrique Apolo-Apolo, Manuel Perez-Ruiz, Jorge Martinez-Guanter, Gregorio Egea
Article
Agronomy
O. E. Apolo-Apolo, J. Martinez-Guanter, G. Egea, P. Raja, M. Perez-Ruiz
EUROPEAN JOURNAL OF AGRONOMY
(2020)
Article
Engineering, Multidisciplinary
Francisco Aguera-Vega, Marta Aguera-Puntas, Juan Aguera-Vega, Patricio Martinez-Carricondo, Fernando Carvajal-Ramirez
Summary: This study developed a band co-registration method based on rectified images from different sensors, aiming to achieve precise alignment of multispectral information for agricultural purposes. The quantitative analysis showed high accuracy of the proposed methodology in improving efficiency for various agricultural tasks.
Article
Agricultural Engineering
Manuel Perez-Ruiz, David C. Slaughter
Summary: The study evaluated a new transplanting technology to improve the accuracy and synchronization of vegetable crop transplanting, achieving a grid-like planting pattern. Through high-speed computer vision analysis and improved plant support mechanism, the deviation values of plant placement in the soil were significantly reduced.
BIOSYSTEMS ENGINEERING
(2021)
Article
Environmental Sciences
Simon Appeltans, Orly Enrique Apolo-Apolo, Jaime Nolasco Rodriguez-Vazquez, Manuel Perez-Ruiz, Jan Pieters, Abdul M. Mouazen
Summary: The study explores the potential of hyperspectral measurements for early disease detection and proposes an image labelling and segmentation algorithm for more accurate construction of training libraries and distinction between visible symptoms and pre-visible symptoms. Through this algorithm, successful creation of hyper spectral training libraries for late blight disease in potatoes and two types of leaf rust in wheat is achieved, demonstrating that the modeling accuracies of automatically labelled datasets are significantly higher than manually labelled datasets.
Article
Environmental Sciences
Alejandro Prior, Orly Enrique Apolo-Apolo, Pedro Castro-Valdecantos, Manuel Perez-Ruiz, Gregorio Egea
Summary: This study investigated the reference baselines for maize grown under Mediterranean conditions, finding them to be stable in the long term but significantly influenced by meteorological variations between 10-17 h UTC. Therefore, multiple reference baselines should be considered when computing CWSI during this time interval.
Article
Agronomy
Thomas Bournaris, Manuela Correia, Alessandro Guadagni, Jeremy Karouta, Anne Krus, Stefania Lombardo, Dimitra Lazaridou, Efstratios Loizou, Jose Rafael Marques da Silva, Jorge Martinez-Guanter, Anastasios Michailidis, Stefanos Nastis, Aikaterini Paltaki, Maria Partalidou, Manuel Perez-Ruiz, Angela Ribeiro, Constantino Valero, Marco Vieri
Summary: This paper explores the training needs of agricultural university students in the Euro-Mediterranean region regarding precision agriculture. The research reveals differences in training needs among students and investigates the socioeconomic characteristics that influence their interest and knowledge in precision agriculture. The study emphasizes the importance of addressing the lack of knowledge and interest in precision agriculture, as it hinders technological advancements and rural economic development.
Article
Environmental Sciences
Diego Jose Gallardo-Romero, Orly Enrique Apolo-Apolo, Jorge Martinez-Guanter, Manuel Perez-Ruiz
Summary: This research explores the feasibility of using supervised ML models and unsupervised k-means clustering in GEE to generate accurate management zones for VRA in precision agriculture. The study shows that GEE and ML models have the potential to create precise MZs, leading to enhanced farm profitability and reduced environmental impact.
Article
Education & Educational Research
Gregorio Egea, Antonio Rodriguez-Lizana, Luis Perez-Urrestarazu, Manuel Perez-Ruiz, Pilar Rallo, Maria Paz Suarez
Summary: This study finds that there is uncertainty in the workload allocation for the final degree project (FDP) course in engineering programs. A smartphone application was used to measure the time spent by students and teachers on different FDP learning and supervising activities. The results show that the reported FDP workloads by students were not significantly higher than the nominal ECTS credit hours, while the FDP teachers reported notably higher workloads than those stipulated by the university regulations.
EDUCATION SCIENCES
(2022)
Article
Agricultural Engineering
Jose Roberto Moreira Ribeiro Goncalves, Gabriel Araujo E. Silva Ferraz, Etore Francisco Reynaldo, Diego Bedin Marin, Patricia Ferreira Ponciano Ferraz, Manuel Perez-Ruiz, Giuseppe Rossi, Marco Vieri, Daniele Sarri
Summary: This study aimed to compare three different soil-sampling methods in Precision Agriculture and their environmental impact. Grid sampling (GS) was found to be the most environmentally viable option for phosphorus (P), while sampling oriented by soil electrical conductivity (OS) was better for potassium (K) and nitrogen (N). Improvement in soil-sampling techniques is needed to enhance productivity and economic and environmental benefits.
JOURNAL OF AGRICULTURAL ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Rafael R. Sola-Guriado, Gregorio L. Blanco-Roldan, Jesus A. Gil-Ribes