Evaluation of Vineyard Cropping Systems Using On-Board RGB-Depth Perception
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Constantino Valero | Angela Ribeiro | Dionisio Andújar | Victor Rueda-Ayala | Hugo Moreno | Jose Bengochea-Guevara | Juan Lopez | Gerassimos Peteinatos | C. Valero | D. Andújar | A. Ribeiro | G. Peteinatos | V. Rueda-Ayala | H. Moreno | J. Bengochea-Guevara | Juan Y. López
[1] Peter Dalgaard,et al. R Development Core Team (2010): R: A language and environment for statistical computing , 2010 .
[2] Angela Ribeiro,et al. On-Ground Vineyard Reconstruction Using a LiDAR-Based Automated System , 2020, Sensors.
[3] Roland Gerhards,et al. Potential use of ground-based sensor technologies for weed detection. , 2014, Pest management science.
[4] Theofanis Gemtos,et al. Using laser scanner to map pruning wood in vineyards , 2013 .
[5] J. R. Rosell-Polo,et al. Advances in Structured Light Sensors Applications in Precision Agriculture and Livestock Farming , 2015 .
[6] José M. Bengochea-Guevara,et al. Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley , 2019, Sensors.
[7] Jinhai Cai,et al. High-throughput 3D modelling of plants for phenotypic analysis , 2012, IVCNZ '12.
[8] Joan Ramón Rosell Polo,et al. A tractor-mounted scanning LIDAR for the non-destructive measurement of vegetative volume and surface area of tree-row plantations: A comparison with conventional destructive measurements , 2009 .
[9] Scott D. Roth,et al. Ray casting for modeling solids , 1982, Comput. Graph. Image Process..
[10] Martin Weis,et al. An Ultrasonic System for Weed Detection in Cereal Crops , 2012, Sensors.
[11] Jose A. Jiménez-Berni,et al. High Throughput Determination of Plant Height, Ground Cover, and Above-Ground Biomass in Wheat with LiDAR , 2018, Front. Plant Sci..
[12] Peter Christiansen,et al. FieldSAFE: Dataset for Obstacle Detection in Agriculture , 2017, Sensors.
[13] Dan Wu,et al. Estimating Changes in Leaf Area, Leaf Area Density, and Vertical Leaf Area Profile for Mango, Avocado, and Macadamia Tree Crowns Using Terrestrial Laser Scanning , 2018, Remote. Sens..
[14] Jordi Llorens,et al. Kinect v2 Sensor-Based Mobile Terrestrial Laser Scanner for Agricultural Outdoor Applications , 2017, IEEE/ASME Transactions on Mechatronics.
[15] Angela Ribeiro,et al. A Low-Cost Approach to Automatically Obtain Accurate 3D Models of Woody Crops , 2017, Sensors.
[16] Jordi Llorens,et al. Georeferenced LiDAR 3D Vine Plantation Map Generation , 2011, Sensors.
[17] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[18] L. G. Santesteban,et al. Precision viticulture and advanced analytics. A short review. , 2019, Food chemistry.
[19] Marc Levoy,et al. A volumetric method for building complex models from range images , 1996, SIGGRAPH.
[20] José Dorado,et al. Influence of Wind Speed on RGB-D Images in Tree Plantations , 2017, Sensors.
[21] Qi Wu,et al. A Post-Rectification Approach of Depth Images of Kinect v2 for 3D Reconstruction of Indoor Scenes , 2017, ISPRS Int. J. Geo Inf..
[22] Samuel Williams,et al. A Robot System for Pruning Grape Vines , 2017, J. Field Robotics.
[23] Gérard G. Medioni,et al. Object modelling by registration of multiple range images , 1992, Image Vis. Comput..
[24] Guy Shani,et al. Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping , 2018, Sensors.
[25] Cecilia Sik-Lányi,et al. Suitability of the Kinect Sensor and Leap Motion Controller—A Literature Review , 2019, Sensors.
[26] Angela Ribeiro,et al. Aerial imagery or on-ground detection? An economic analysis for vineyard crops , 2019, Comput. Electron. Agric..
[27] Henry Medeiros,et al. A robotic vision system to measure tree traits , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[28] Roland Siegwart,et al. Kinect v2 for mobile robot navigation: Evaluation and modeling , 2015, 2015 International Conference on Advanced Robotics (ICAR).
[29] J. Léon,et al. High-precision laser scanning system for capturing 3D plant architecture and analysing growth of cereal plants , 2014 .
[30] José Dorado,et al. Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops , 2016, Comput. Electron. Agric..
[31] Wenbing Zhao,et al. A Survey of Applications and Human Motion Recognition with Microsoft Kinect , 2015, Int. J. Pattern Recognit. Artif. Intell..
[32] Didier Stricker,et al. Comparison of Kinect V1 and V2 Depth Images in Terms of Accuracy and Precision , 2016, ACCV Workshops.
[33] Herbert Edelsbrunner,et al. Three-dimensional alpha shapes , 1992, VVS.
[34] Matthias Nießner,et al. Real-time 3D reconstruction at scale using voxel hashing , 2013, ACM Trans. Graph..
[35] Xu Wang,et al. Field-based high-throughput phenotyping of plant height in sorghum using different sensing technologies , 2018, Plant Methods.
[36] Alexandre Escolà,et al. A Method to Obtain Orange Crop Geometry Information Using a Mobile Terrestrial Laser Scanner and 3D Modeling , 2017, Remote. Sens..
[37] Livio Pinto,et al. Calibration of Kinect for Xbox One and Comparison between the Two Generations of Microsoft Sensors , 2015, Sensors.
[38] Joaquim J. Sousa,et al. Vineyard properties extraction combining UAS-based RGB imagery with elevation data , 2018 .
[39] Elise Lachat,et al. Assessment and Calibration of a RGB-D Camera (Kinect v2 Sensor) Towards a Potential Use for Close-Range 3D Modeling , 2015, Remote. Sens..