Examinando por Autor "Pantoja, J."
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Ítem An IoT-Based Prototype for Optimizing Agricultural Irrigation: A Case Study in the Biobío Region of Chile(Procedia Computer Science, 2024) Saez, J.; Pantoja, J.; Matamala, M.; Briceño, I.; Vásconez, J.; Romero-Conrado, A.This paper shows an agricultural irrigation alternative using a low-cost Internet of Things (IoT) application. This technology allows the automation and optimization of processes by monitoring, processing, and analyzing large volumes of related data, including variables related to the soil (moisture), fertilization, and irrigation, which can be visualized through the internet to enable sustainable and efficient agriculture. The study is centered on the Los Angeles, Biobío, Chile case. The main objective of the prototype is to optimize water consumption for agricultural irrigation by using only the amount that is strictly necessary for each crop by allowing real-time visualization of irrigation status, moisture data, and irrigation times while providing a history of data that can be used for further analysis.Ítem Comparison of path planning methods for robot navigation in simulated agricultural environments(Elsevier, 2023) Vásconez, J.; Basoalto, F.; Briceño, I.; Pantoja, J.; Larenas, R.; Rios, J.; Castro, F.Path planning is a research topic that is still being studied for the area of mobile robotics. However, path-planning algorithms for mobile robot applications depend strongly on the environment and its complexity. In this work, we implemented three different path-planning algorithms for a simulated agricultural process. The selected algorithms are Breadth First search (BFS), Depth first search (DFS), and A*. We compare and evaluate such algorithms by using different accuracy metrics. The results demonstrate that the A* path planning method outperforms the other methods considering processing time, travel time, distance, and battery consumption.