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Identificación de individuos con afectación fitosanitaria dentro de un cultivo de palma mediante el uso de fotogrametría con drones
(Universidad Santiago de Cali, 2024) Agudelo Duarte, Javier Mauricio; Escalante Caicedo, Ana Bely (Directora)
Photogrammetry is the art of measuring photographs, and in recent years it has become very relevant in Engineering due to the saving and maximization of time when developing projects. One of the most important regions of the economy in the department of Meta and especially acacias, is the cultivation of palm that provides the country with products such as diesel oil and derivatives for national and international consumption, but at the cultivation level, diseases such as but rot. , lethal withers, surprise withers, Red ring. They are of vital importance and generate losses in production reaching almost 80% in attacked lots. Taking into account the aggressiveness of these diseases and their rapid development in the crop and in order to maximize time, photogrammetry with drones is used as a technological tool to detect symptoms in the physiology of the plant such as color and phyllotaxis of the leaves, In this way, we can save time in physical inspections plant by plant and be able to take early and effective measures to control these diseases
Fotogrametría aérea con drones aplicada al cálculo del volumen de relleno del suelo-nivel de la obra civil “bodegas de guásimos”, Candelaria, Valle del Cauca
(Universidad Santiago de Cali, 2023) Ortiz Hernández, Daniel; Romero Guerrero, Diego Fernando; Cabezas Alzate, Diego Fernando (Director)
Photogrammetry with drones has become an essential tool in the construction industry, allowing for precise and consistent measurements. This article focuses on a comprehensive study that addresses the capture of photogrammetric data and its georeferencing in construction projects. Georeferencing is achieved through control points and positional quality validation, ensuring the accuracy of photogrammetric products. In this project, a total error of 2.13 cm was obtained in the checkpoint points, results that validate the reliability of drone photogrammetry in obtaining detailed information in the construction context. The comparison between the surface model obtained through photogrammetry with drones and ground measurements reveals a close match, supporting the robustness of the photogrammetric methodology. However, it is essential to recognize the limitations and inherent uncertainty in topographic measurements. The comparison of volumes calculated using photogrammetry with drones and conventional topography is also addressed, resulting in the cut volume, which is the difference between the cut and fill volumes, with a difference of 3,132 m3, representing 0.24% of the total volume. This demonstrates minimal differences and validates the reliability of photogrammetry in accurately capturing topographic changes in construction projects. In summary, this study underscores the importance of capturing photogrammetric data with drones and georeferencing in the construction industry. The results support the validity of this methodology in providing precise and consistent measurements, which are fundamental for decision-making and the success of construction projects. Drone photogrammetry emerges as a valuable and reliable tool in this context.
Knowledge, Attitudes, and Perceptions of Colombians Towards Biodiversity Regarding COP16
(Multidisciplinary Digital Publishing Institute (MDPI), 2025-02-12) Bedoya Rodríguez, Francisco Javier; Pelegrín, Jonathan S.; Gutiérrez Santana, Aura Cristina; Giraldo Marín, Fredy Alejandro; Gutiérrez Gutiérrez, Alexander; Pinzón Camargo, Libia Carolina; Hurtado Martínez, Jeffrey; Álvarez Martínez, Cindy del Carmen; Perdomo Vergara, Gigliola Yudit; Romero, María Fernanda; Mejía Florez, Ninfa Rosa
Research on Colombians’ knowledge, attitudes, and perceptions (KAP) of biodiversity in the context of COP16 is vital due to Colombia’s significant biodiversity, which comprises about 10% of the world’s total. Understanding public awareness and attitudes towards conservation is essential for effective policy development. This study aims to fill existing research gaps by providing empirical data on how citizens perceive biodiversity and their responsibilities regarding international agreements like COP16. Previous studies have often neglected the impact of significant global events on local populations, making this research particularly relevant. The findings will help policymakers identify misconceptions and areas needing improvement, thereby enhancing conservation initiatives and public engagement. A recent survey revealed that while 80% of Colombians view biodiversity as critical, only a small percentage recognize it as a major global crisis, indicating a disconnect between awareness and action. Many citizens express a willingness to contribute to conservation efforts; however, a significant portion lacks knowledge on how to do so effectively. This study underscores the necessity for educational strategies that are adapted to Colombia’s heterogeneous cultural contexts with the aim of engaging communities. The objective is to galvanize support for biodiversity conservation by enhancing the bond between citizens and their natural heritage.
One-Loop N -Point Correlators in Pure Gravity
(American Physical Society, 2025-03-20) Gomez, Humberto; Lipinski Jusinskas, Renann; Lopez rcos, Cristhiam; Quintero Vélez, Alexander
In this Letter we propose a simple algebraic recursion for the complete one-loop integrands of 𝑁-graviton correlators. This formula automatically yields the correct symmetry factors of individual diagrams, taking into account both the graviton and the ghost loop, and seamlessly controlling the related combinatorics.
The MSPTDfast photoplethysmography beat detection algorithm: design, benchmarking, and open-source distribution
(IOP Publishing Ltd., 2025-03-11) Charlton, Peter H; Argüello Prada, Erick Javier; Mant, Jonathan; Kyriacou, Panicos A
Objective: photoplethysmography is widely used for physiological monitoring, whether in clinical devices such as pulse oximeters, or consumer devices such as smartwatches. A key step in the analysis of photoplethysmogram (PPG) signals is detecting heartbeats. The multi-scale peak & trough detection (MSPTD) algorithm has been found to be one of the most accurate PPG beat detection algorithms, but is less computationally efficient than other algorithms. Therefore, the aim of this study was to develop a more efficient, open-source implementation of the MSPTD algorithm for PPG beat detection, named MSPTDfast (v.2). Approach. five potential improvements to MSPTD were identified and evaluated on four datasets. MSPTDfast (v.2) was designed by incorporating each improvement which on its own reduced execution time whilst maintaining a high F1-score. After internal validation, MSPTDfast (v.2) was benchmarked against state-of-the-art beat detection algorithms on four additional datasets. Main results. MSPTDfast (v.2) incorporated two key improvements: pre-processing PPG signals to reduce the sampling frequency to 20 Hz; and only calculating scalogram scales corresponding to heart rates >30 bpm. During internal validation MSPTDfast (v.2) was found to have an execution time of between approximately one-third and one-twentieth of MSPTD, and a comparable F1-score.