Patricia Arizo-García

Does Laboratory–Theory Assessment Correspondence Differ Across First-Year Engineering Degree Cohorts?

Daniel Tarrazó-Serrano, César González-Pavón, Patricia Arizo-García, Lucas Onrubia-Fontangordo et autres

Laboratory practices in engineering education, and particularly first-year Physics laboratories, are traditionally considered a cornerstone for acquiring technical competencies. However, this study examines whether the correspondence between laboratory and theoretical-exam performance is uniform across student cohorts. We present a quantitative analysis of …

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Validación agronómica de la aplicación variable de nitrógeno y semilla en trigo mediante zonificación por Clustering

Enric Cruzado-Campos, Javier Coronado-Campos, Patricia Arizo-García, Sergio Castiñeira-Ibáñez et autres

La agricultura de precisión busca optimizar el uso de insumos ajustando las dosis a la variabilidad intra-parcelaria. Sin embargo, la adopción de tecnologías de dosis variable (VRT, Variable Rate Technology) a menudo carece de una validación agronómica posterior que cuantifique su éxito …

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Spectral Phenological Typologies for Improving Cross-Dataset in Mediterranean Winter Cereals

Patricia Arizo-García, Sergio Castiñeira-Ibáñez, Beatriz Ricarte, A. San Bautista et autres

Accurate monitoring of crop phenology is essential for precision agriculture and yield forecasting. However, satellite-derived time series often suffer from inherent noise, such as residual atmospheric effects and mixed pixels, as well as a frequent lack of ground-truth data in agriculture. In …

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CASE STUDY ON THE RELATIONSHIP BETWEEN LABORATORY PRACTICES AND PARTIAL EXAMS IN THE BACHELOR OF AGRONOMICAL ENGINEERING AND THE VALIDATION OF EVALUATIVE COHERENCE

Patricia Arizo-García, Lucas Onrubia-Fontangordo, César González-Pavón, Daniel Tarrazó-Serrano et autres

PROJECT-BASED LEARNING WITH ARDUINO: DESIGN AND VALIDATION OF A LOW-COST AGRO-METEOROLOGICAL STATION FOR TEACHING AGRICULTURAL AND BIOLOGICAL ENGINEERING

Sofía García-Juan, Patricia Arizo-García, Enric Cruzado-Campos, Daniel Tarrazó-Serrano et autres

High-Resolution Wheat and Barley Yield Forecasting Using Multi-Temporal Satellite Time Series and Machine Learning

Patricia Arizo-García, Sergio Castiñeira-Ibáñez, Enric Cruzado-Campos, A. San Bautista et autres

High-resolution yield forecasting is essential for advancing precision agriculture and improving the sustainability of wheat and barley production. While most previous studies focus on field-scale predictions, pixel-level approaches are needed to capture intra-field variability and support site-specific management. This paper evaluates the …

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A Standardized Framework for Cleaning Non-Normal Yield Data from Wheat and Barley Crops, and Validation Using Machine Learning Models for Satellite Imagery

Patricia Arizo-García, Sergio Castiñeira-Ibáñez, Enric Cruzado-Campos, Beatriz Ricarte et autres

Modern combine harvesters can collect real-time geolocated yield data, but it is subject to errors. Various protocols have been proposed to clean this data, each with varying levels of complexity. This data is valuable for precision agriculture to implement site-specific management and …

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Web-based Decision Support System for Nitrogen Fertilization in Wheat based on Sentinel-2 and AgERA5

Enric Cruzado-Campos, Patricia Arizo-García, Daniel Tarrazó-Serrano, A. San Bautista et autres

Influence of the Application of Zn and Mn Obtained from Black Mass on Young Citrus Plant Growth

Ana Isabel Escudero, Rubén Simeón, Patricia Arizo-García, Alba Agenjos-Moreno et autres

The reuse of industrial waste is essential to reduce environmental impact and move towards sustainable development through methods that do not depend on limited resources. To this end, a fertilizer was developed from recycled alkaline batteries, transformed into a useful product rich …

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Use of Sentinel-2 Images to Elaborate a VRT Sensor-Based and Map-Based Nitrogen Fertilization in Wheat and Barley Crops

Patricia Arizo-García, Sergio Castiñeira-Ibáñez, Daniel Tarrazó-Serrano, Belen Franch et autres

Precision agriculture can determine the amount of nitrogen (N) required in each area to optimize yield and nitrogen use efficiency (NUE). The use of variable rate technology (VRT) for planning N fertilization has often relied on techniques that are unfeasible for farmers …

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Application of Remote Sensing for Monitoring the Incidence of Delotococcus aberiae in Citrus Farms at Castellón (Spain)

Constanza Rubio, Belen Franch, Francisco Valls, Daniel Tarrazó-Serrano et autres

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Osmolyte Regulation as an Avocado Crop Management Strategy for Improving Productivity Under High Temperatures

A. San Bautista, Alba Agenjos-Moreno, Ana María Mendoza Martínez, Patricia Arizo-García et autres

Climate change worsens abiotic stresses, primarily due to high temperatures, which have a negative impact on avocado productivity, leading to reduced crop yields, affecting fruit set and abscission. To tackle these challenges, antioxidants such as glycine, choline, and proline can enhance plant …

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