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Crop Management with the IoT: An Interdisciplinary Survey

1
Department of Agricultural and Food Sciences, Alma Mater Studiorum, University of Bologna, 40127 Bologna, Italy
2
Department of Computer Science and Engineering, Alma Mater Studiorum, University of Bologna, 47521 Cesena, Italy
*
Author to whom correspondence should be addressed.
Agronomy 2021, 11(1), 181; https://doi.org/10.3390/agronomy11010181
Received: 30 November 2020 / Revised: 10 January 2021 / Accepted: 13 January 2021 / Published: 18 January 2021
In this study, we analyze how crop management will benefit from the Internet of Things (IoT) by providing an overview of its architecture and components from agronomic and technological perspectives. The present analysis highlights that IoT is a mature enabling technology with articulated hardware and software components. Cheap networked devices can sense crop fields at a finer grain to give timeliness warnings on the presence of stress conditions and diseases to a wider range of farmers. Cloud computing allows reliable storage, access to heterogeneous data, and machine-learning techniques for developing and deploying farm services. From this study, it emerges that the Internet of Things will draw attention to sensor quality and placement protocols, while machine learning should be oriented to produce understandable knowledge, which is also useful to enhance cropping system simulation systems. View Full-Text
Keywords: Internet of Things; sensors; cloud computing; crop management; smart farming Internet of Things; sensors; cloud computing; crop management; smart farming
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MDPI and ACS Style

Vitali, G.; Francia, M.; Golfarelli, M.; Canavari, M. Crop Management with the IoT: An Interdisciplinary Survey. Agronomy 2021, 11, 181. https://doi.org/10.3390/agronomy11010181

AMA Style

Vitali G, Francia M, Golfarelli M, Canavari M. Crop Management with the IoT: An Interdisciplinary Survey. Agronomy. 2021; 11(1):181. https://doi.org/10.3390/agronomy11010181

Chicago/Turabian Style

Vitali, Giuliano; Francia, Matteo; Golfarelli, Matteo; Canavari, Maurizio. 2021. "Crop Management with the IoT: An Interdisciplinary Survey" Agronomy 11, no. 1: 181. https://doi.org/10.3390/agronomy11010181

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