Detection of Ecballium elaterium in hedgerow olive orchards using a low‐cost uncrewed aerial vehicle and open‐source algorithms

Can Commercial Low-Cost Drones and Open-Source GIS Technologies Be Suitable for Semi-Automatic Weed Mapping for Smart Farming? A Case Study in NE Italy

(2021) Pietro Mattivi et al.   Remote Sensing

Early Detection of Broad-Leaved and Grass Weeds in Wide Row Crops Using Artificial Neural Networks and UAV Imagery

(2021) Jorge Torres-Sánchez et al.   Agronomy-Basel

Automatic UAV-based detection of Cynodon dactylon for site-specific vineyard management

(2019) Francisco Manuel Jiménez-Brenes et al.   PLoS One

Spatial and Temporal Distribution of Ecballium elaterium in Almond Orchards

(2019) Lior Blank et al.   Agronomy-Basel

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

(2019) Ana I. de Castro et al.   Remote Sensing

Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

(2018) Junfeng Gao et al.   International Journal of Applied Earth Observation and Geoinformation

3-D Characterization of Vineyards Using a Novel UAV Imagery-Based OBIA Procedure for Precision Viticulture Applications

(2018) Ana de Castro et al.   Remote Sensing

An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery

(2018) Ana de Castro et al.   Remote Sensing

SegOptim—A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data

(2018) João Gonçalves et al.   International Journal of Applied Earth Observation and Geoinformation

Object-based early monitoring of a grass weed in a grass crop using high resolution UAV imagery

(2016) Francisca López-Granados et al.   Agronomy for Sustainable Development

Whitebox GAT: A case study in geomorphometric analysis

(2016) J.B. Lindsay   COMPUTERS & GEOSCIENCES

Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery

(2016) María Pérez-Ortiz et al.   EXPERT SYSTEMS WITH APPLICATIONS

Mapping of riparian invasive species with supervised classification of Unmanned Aerial System (UAS) imagery

(2016) Adrien Michez et al.   International Journal of Applied Earth Observation and Geoinformation

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

(2015) José Peña et al.   SENSORS

High-Throughput 3-D Monitoring of Agricultural-Tree Plantations with Unmanned Aerial Vehicle (UAV) Technology

(2015) Jorge Torres-Sánchez et al.   PLoS One

Weed Mapping in Early-Season Maize Fields Using Object-Based Analysis of Unmanned Aerial Vehicle (UAV) Images

(2013) José Manuel Peña et al.   PLoS One

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Spatial dependence of predictions from image segmentation: A variogram-based method to determine appropriate scales for producing land-management information

(2010) Jason W. Karl et al.   Ecological Informatics

ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data

(2010) Lucian Drǎguţ et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Adoption of precision agriculture technologies in India and in some developing countries: Scope, present status and strategies

(2009) Pinaki Mondal et al.   Progress in Natural Science-Materials International