Abstract
Greenhouse farmers around the world face multiple challenges imposed by manual tasks and must deal with complex relationships among growth environment variables. Usually, tasks are accomplished with low efficiency and high uncertainty, which becomes evident when evaluating the impact introduced by adjustments to these variables. These challenges have led to the appearance of the precision agriculture industry, as farmers attempt to automate the agricultural and commercialization processes using solutions based on the Internet of Things (IoT), Artificial Intelligence (AI) and Cloud Computing. Although these novel technological solutions seem to tackle some of the challenges, several concerns about centralization and data silos throughout the supply chain have arisen. Thus, we propose the Interplanetary Precision Agriculture (IPA) project as an alternative to an increasing demand for better technological solutions in the sustainable food supply, required by the long-term presence of humans in any given environment. The current project aims to improve the cultivation process on and off Earth, by implementing solutions based on the IoT, AI, and Distributed Ledger Technologies (DLT). Hence, a “system of systems” is laid out. First, Magrito, a holonomic autonomous rover, is introduced to capture crop performance parameters (output variables). Second, Precision Habitat PRO, the environment controlling device, is deployed to capture growing parameters (input variables). Third, a commercial Bluetooth scale is added. Last, a Farm Management System is utilized to correlate the data captured by IoT devices with business logic. The resulting information is sent to the IOTA Tangle network to render it immutable and interoperable, at zero network processing fees with minimal energy consumption.
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Acknowledgements
We thank all the collaborators from IRIS Corporation and Zignar Technologies for their effort in developing the software and hardware of all the systems presented in this article, and for the showcasing of the solution at the AGSmart Expo 2021, AB, Canada [46] and the analog mission of MMAARS 2021 [47]. Likewise, we thank the MMAARS institute for providing all the resources to adapt the crops in the greenhouse for the space analog mission. Finally, we thank Giorgio Morales, Lead Data Scientist at Zignar Technologies and PhD Student in Computer Science at Montana State University; Pablo Bellido, IoT Engineer at Zignar Technologies and Bachelor of Electronic Engineering from the National University San Luis Gonzaga; and Oliver Stehr, Software Engineer at Zignar Technologies and Computer Science student at Universidad Adolfo Ibáñez, for assisting with technical writing in the elaboration of this document.
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Flores, A., Morales, A., Campos, G., Gelso, J. (2022). Energy Efficiency Using IOTA Tangle for Greenhouse Agriculture. In: Lossio-Ventura, J.A., et al. Information Management and Big Data. SIMBig 2021. Communications in Computer and Information Science, vol 1577. Springer, Cham. https://doi.org/10.1007/978-3-031-04447-2_9
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