mlsanityData to 14 Oct 2026

Towards Precise Pruning Points Detection using Semantic-Instance-Aware Plant Models for Grapevine Winter Pruning Automation

arXiv 2109.07247 ↗First posted 15 Sep 2021cs.RO cs.CVcited by 0

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Abstract (arXiv)

Grapevine winter pruning is a complex task, that requires skilled workers to execute it correctly. The complexity makes it time consuming. It is an operation that requires about 80-120 hours per hectare annually, making an automated robotic system that helps in speeding up the process a crucial tool in large-size vineyards. We will describe (a) a novel expert annotated dataset for grapevine segmentation, (b) a state of the art neural network implementation and (c) generation of pruning points following agronomic rules, leveraging the simplified structure of the plant. With this approach, we are able to generate a set of pruning points on the canes, paving the way towards a correct automation of grapevine winter pruning.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 17 references that are in the map. First posted on arXiv 15 Sep 2021.

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11 of 17 references.

References · 11

  1. 2016Aggregated Residual Transformations for Deep Neural Networkscited by 2,546
  2. 2017Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNscited by 55
  3. 2019Grape detection, segmentation and tracking using deep neural networks and three-dimensional associationcited by 21
  4. 2016Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchardscited by 19
  5. 2016Automatic Model Based Dataset Generation for Fast and Accurate Crop and Weeds Detectioncited by 14
  6. 2018Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Networkcited by 7
  7. 2018Object Detection using Domain Randomization and Generative Adversarial Refinement of Synthetic Imagescited by 4
  8. 2018An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networkscited by 3
  9. 2019Deep Mangoes: from fruit detection to cultivar identification in colour images of mango treescited by 3
  10. 2021Grapevine Winter Pruning Automation: On Potential Pruning Points Detection through 2D Plant Modeling using Grapevine Segmentationcited by 2
  11. 2021Whole-Body Control on Non-holonomic Mobile Manipulation for Grapevine Winter Pruning Automationcited by 1

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