Toward Single Plant Digital Twin via 3D Plants Reconstruction and Segmentation
| Autor: | Riccardo Bertoglio, Andrea Romanoni, Giulio Fontana, Matteo Matteucci |
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| Rok vydání: | 2019 |
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| DOI: | 10.5281/zenodo.4782504 |
| Popis: | With the advent of Precision Agriculture we are going in the direction of a fourth agricultural revolution. In the future, crop works will be entirely automated by intelligent machines that will carry out all operations, from sowing to harvesting, leading to more efficient use of resources (like water and nutrients) and contamination reduction via a fine-tuned spraying of pesticides. One of the requirements for agricultural machines to accomplish in-field localized operations is to have a digital model of each single crop plant. This framework leads to the idea of Plant Digital Twin, that is, the computerized counterpart of a real plant. With this in mind, we developed a system that can scan crop rows reconstructing and distinguishing individual plants. The final goal is growth monitoring and treatments targeted to the needs of each specific plant. https://youtu.be/r8e6H76TeFk https://youtu.be/Jam0A0BDyN0 |
| Databáze: | OpenAIRE |
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