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. 2021 Jan 15;12:388. doi: 10.1038/s41467-020-20764-2

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — Harvested sentinel plant sensor signals could be communicated to a proximal smart farm through an Internet of Biological Things satellite architecture in real-time with low latency. Edge computing at the smart far could combine sentinel signals with daily-refreshed geospatial and current local weather forecasts. Embedded artificial intelligence agents at the smart farm could undertake insight-driven drone route planning to optimize autonomous application of fertilizer and pesticide.