Ana I. de Castro

Orcid: 0000-0002-6699-2204

According to our database1, Ana I. de Castro authored at least 14 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Cognitive Computing Advancements: Improving Precision Crop Protection through UAV Imagery for Targeted Weed Monitoring.
Remote. Sens., August, 2024

2023
Mobile terrestrial laser scanner <i>vs</i>. UAV photogrammetry to estimate woody crop canopy parameters - Part 2: Comparison for different crops and training systems.
Comput. Electron. Agric., September, 2023

Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters - Part 1: Methodology and comparison in vineyards.
Comput. Electron. Agric., September, 2023

2021
UAVs for Vegetation Monitoring: Overview and Recent Scientific Contributions.
Remote. Sens., 2021

2020
Classification of 3D Point Clouds Using Color Vegetation Indices for Precision Viticulture and Digitizing Applications.
Remote. Sens., 2020

Monitoring Vineyard Canopy Management Operations Using UAV-Acquired Photogrammetric Point Clouds.
Remote. Sens., 2020

Mapping Cynodon Dactylon Infesting Cover Crops with an Automatic Decision Tree-OBIA Procedure and UAV Imagery for Precision Viticulture.
Remote. Sens., 2020

2019
Watson on the Farm: Using Cloud-Based Artificial Intelligence to Identify Early Indicators of Water Stress.
Remote. Sens., 2019

2018
An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery.
Remote. Sens., 2018

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., 2018

3-D Characterization of Vineyards Using a Novel UAV Imagery-Based OBIA Procedure for Precision Viticulture Applications.
Remote. Sens., 2018

Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado.
Comput. Electron. Agric., 2018

2017
Field detection of anthracnose crown rot in strawberry using spectroscopy technology.
Comput. Electron. Agric., 2017

2015
Quantifying Efficacy and Limits of Unmanned Aerial Vehicle (UAV) Technology for Weed Seedling Detection as Affected by Sensor Resolution.
Sensors, 2015


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