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Crop Management with the IoT: An Interdisciplinary Survey
Content Provider | MDPI |
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Author | Vitali, Giuliano Francia, Matteo Golfarelli, Matteo Canavari, Maurizio |
Copyright Year | 2021 |
Description | 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. |
Starting Page | 181 |
e-ISSN | 20734395 |
DOI | 10.3390/agronomy11010181 |
Journal | Agronomy |
Issue Number | 1 |
Volume Number | 11 |
Language | English |
Publisher | MDPI |
Publisher Date | 2021-01-18 |
Access Restriction | Open |
Subject Keyword | Agronomy Computer Science Internet of Things Sensors Cloud Computing Crop Management Smart Farming |
Content Type | Text |
Resource Type | Article |