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Cited by 163

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The influence of drone monitoring on crop health and harvest size

Reinecke, Marthinus, Prinsloo, Tania·2017·2017 1st International Conference on Next Generation Computing Applications (NextComp)

Abstract

This paper looks at the benefits of drones in agriculture, and their limitations, illustrating from examples how drones operate on farms. Different features of drones are discussed, specifically how they assist farmers in maximizing their harvest by detecting problems early, and managing the crops by using specific cameras to detect pests and water shortages. Two interview were done: one with a strong emphasis on drone camera technology - UVIRCO and the second - Aerobotics - to further illustrate the uses of agricultural drones. The article concludes by recommending that more farmers invest in drone technology to better their agricultural outputs.

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Metadata

Authors
Reinecke, M., & Prinsloo, T.
Venue
2017 1st International Conference on Next Generation Computing Applications (NextComp)
Publisher
IEEE
Published
2017-07
Pages
5-10
OpenAlex
W2748154283
Cited by
163
References
0
FWCI
37.30
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: The influence of drone monitoring on crop health and harvest size. https://app.cochat.ai/papers/10.1109/nextcomp.2017.8016168
The paper
Reinecke, M., & Prinsloo, T. (2017). The influence of drone monitoring on crop health and harvest size. 2017 1st International Conference on Next Generation Computing Applications (NextComp). https://doi.org/10.1109/nextcomp.2017.8016168

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.