A tracked mobile robotic lab for monitoring the plants volume and health
| Autor: | Lorenzo Scalera, Alessandro Gasparetto, Marco Bietresato, Daniela D'Auria, Raimondo Gallo, Giovanni Carabin, Renato Vidoni, Fabrizio Mazzetto, Gianluca Ristorto |
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| Rok vydání: | 2016 |
| Předmět: |
Engineering
Control and Optimization 010504 meteorology & atmospheric sciences business.industry Mechanical Engineering Production cost Real-time computing Biomedical Engineering Volume (computing) 04 agricultural and veterinary sciences 01 natural sciences Industrial and Manufacturing Engineering Normalized Difference Vegetation Index Work (electrical) 040103 agronomy & agriculture 0401 agriculture forestry and fisheries State (computer science) Precision agriculture Stage (hydrology) Agricultural productivity business 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). |
| DOI: | 10.1109/mesa.2016.7587134 |
| Popis: | Precision agriculture has been increasingly recognized for its potential ability to improve agricultural productivity, reduce production cost, and minimize damage to the environment. In this work, the current stage of our research in developing a mobile platform equipped with different sensors for orchard monitoring and sensing is presented. In particular, the mobile platform is conceived to monitor and assess both the geometric and volumetric conditions as well as the health state of the canopy. To do so, different sensors have been integrated and effective data-processing algorithms implemented for a reliable crop monitoring. Experimental tests have been performed allowing to obtain both a precise volume reconstruction of several plants and an NDVI mapping suitable for vegetation state evaluations. |
| Databáze: | OpenAIRE |
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