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In-field high throughput grapevine phenotyping with a consumer-grade depth camera.

, , , and . Comput. Electron. Agric., (2019)

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3D reconstruction and classification of natural environments by an autonomous vehicle using multi-baseline stereo., and . Intelligent Service Robotics, 7 (2): 79-92 (2014)All-terrain estimation for mobile robots in precision agriculture., , and . ICIT, page 63-68. IEEE, (2018)Stereo-Based Ego-Motion Estimation Using Pixel Tracking and Iterative Closest Point., and . ICVS, page 21. IEEE Computer Society, (2006)Review on research studies and monitoring system applied to cetaceans in the gulf of taranto (northern ionian sea, central-eastern mediterranean sea)., , , , , , , , , and 5 other author(s). AVSS, page 1-6. IEEE Computer Society, (2017)A Row Following Algorithm for Agricultural Multi-Robot Systems., , and . CoDIT, page 1385-1390. IEEE, (2023)In-field high throughput grapevine phenotyping with a consumer-grade depth camera., , , and . Comput. Electron. Agric., (2019)3D Vision-Based Shelf Monitoring System for Intelligent Retail., , , , and . ICPR Workshops (2), volume 12662 of Lecture Notes in Computer Science, page 447-459. Springer, (2020)On the role of feature and signal selection for terrain learning in planetary exploration robots., , , , , and . J. Field Robotics, 39 (4): 355-370 (2022)A distributed heterogeneous sensor network for tracking and monitoring., , , , , , and . AVSS, page 426-431. IEEE Computer Society, (2013)A Distributed Map Building Approach for Mobile Robotic Networks., , , , , , and . CASE, page 116-121. IEEE, (2018)