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Cited by 260

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Towards Smart Farming and Sustainable Agriculture with Drones

Tripicchio, Paolo, Satler, Massimo, Dabisias, Giacomo, Ruffaldi, Emanuele, Avizzano, Carlo Alberto·2015·2015 International Conference on Intelligent Environments

Abstract

The use of drones in agriculture is becoming more and more popular. The paper presents a novel approach to distinguish between different field's plowing techniques by means of an RGB-D sensor. The presented system can be easily integrated in commercially available Unmanned Aerial Vehicles (UAVs). In order to successfully classify the plowing techniques, two different measurement algorithms have been developed. Experimental tests show that the proposed methodology is able to provide a good classification of the field's plowing depths.

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Metadata

Authors
Tripicchio, P., Satler, M., Dabisias, G., Ruffaldi, E., & Avizzano, C. A.
Venue
2015 International Conference on Intelligent Environments
Publisher
IEEE
Published
2015-07
Pages
140-143
OpenAlex
W1490137407
Cited by
260
References
0
FWCI
65.50
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Towards Smart Farming and Sustainable Agriculture with Drones. https://app.cochat.ai/papers/10.1109/ie.2015.29
The paper
Tripicchio, P., Satler, M., Dabisias, G., Ruffaldi, E., & Avizzano, C. A. (2015). Towards Smart Farming and Sustainable Agriculture with Drones. 2015 International Conference on Intelligent Environments. https://doi.org/10.1109/ie.2015.29

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.