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Ana I. de Castro
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2020 – today
- 2024
- [j15]Gustavo A. Mesías-Ruiz
, José M. Peña, Ana I. de Castro
Cognitive Computing Advancements: Improving Precision Crop Protection through UAV Imagery for Targeted Weed Monitoring. Remote. Sens. 16(16): 3026 (2024) - [j14]Javier Pacheco-Labrador, Juanjo Peón, Marcos Jiménez, José Ramón Rodríguez-Pérez, José Antonio Jiménez-Berni, David Aragonés, Ricardo Díaz-Delgado, José Dorado, Ana I. de Castro, M. Pilar Martín:
Quantifying the Compatibility of Optical Reflectance Factors in a Field Intercomparison Experiment. IEEE Trans. Geosci. Remote. Sens. 62: 1-9 (2024) - 2023
- [j13]Jorge Torres-Sánchez
Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters - Part 2: Comparison for different crops and training systems. Comput. Electron. Agric. 212: 108083 (2023) - [j12]Alexandre Escolà
Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters - Part 1: Methodology and comparison in vineyards. Comput. Electron. Agric. 212: 108109 (2023) - 2021
- [j11]Ana I. de Castro
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions. Remote. Sens. 13(11): 2139 (2021) - 2020
- [j10]Ana I. de Castro
Mapping Cynodon Dactylon Infesting Cover Crops with an Automatic Decision Tree-OBIA Procedure and UAV Imagery for Precision Viticulture. Remote. Sens. 12(1): 56 (2020) - [j9]Francisco Javier Mesas-Carrascosa
Classification of 3D Point Clouds Using Color Vegetation Indices for Precision Viticulture and Digitizing Applications. Remote. Sens. 12(2): 317 (2020) - [j8]Francisca López-Granados, Jorge Torres-Sánchez
Monitoring Vineyard Canopy Management Operations Using UAV-Acquired Photogrammetric Point Clouds. Remote. Sens. 12(14): 2331 (2020)
2010 – 2019
- 2019
- [j7]Daniel Freeman
Watson on the Farm: Using Cloud-Based Artificial Intelligence to Identify Early Indicators of Water Stress. Remote. Sens. 11(22): 2645 (2019) - 2018
- [j6]Jaafar Abdulridha
Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado. Comput. Electron. Agric. 155: 203-211 (2018) - [j5]Ana I. de Castro
An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery. Remote. Sens. 10(2): 285 (2018) - [j4]Ana I. de Castro
3-D Characterization of Vineyards Using a Novel UAV Imagery-Based OBIA Procedure for Precision Viticulture Applications. Remote. Sens. 10(4): 584 (2018) - [j3]Ana I. de Castro
Mapping Crop Calendar Events and Phenology-Related Metrics at the Parcel Level by Object-Based Image Analysis (OBIA) of MODIS-NDVI Time-Series: A Case Study in Central California. Remote. Sens. 10(11): 1745 (2018) - 2017
- [j2]Jinzhu Lu, Reza Ehsani, Yeyin Shi, Jaafar Abdulridha, Ana I. de Castro, Yunjun Xu:
Field detection of anthracnose crown rot in strawberry using spectroscopy technology. Comput. Electron. Agric. 135: 289-299 (2017) - 2015
- [j1]José M. Peña
Quantifying Efficacy and Limits of Unmanned Aerial Vehicle (UAV) Technology for Weed Seedling Detection as Affected by Sensor Resolution. Sensors 15(3): 5609-5626 (2015)
Coauthor Index
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