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IoT-Enabled Smart Agriculture: Architecture, Applications, and Challenges

Quy, Vu Khanh ; Hau, Nguyen Van ; Anh, Dang Van ; Quy, Nguyen Minh ; Ban, Nguyen Tien ; Lanza, Stefania ; Randazzo, Giovanni ; Muzirafuti, Anselme

Applied sciences, 2022-04, Vol.12 (7), p.3396 [Periódico revisado por pares]

Basel: MDPI AG

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Título:
IoT-Enabled Smart Agriculture: Architecture, Applications, and Challenges
Autor: Quy, Vu Khanh ; Hau, Nguyen Van ; Anh, Dang Van ; Quy, Nguyen Minh ; Ban, Nguyen Tien ; Lanza, Stefania ; Randazzo, Giovanni ; Muzirafuti, Anselme
Assuntos: Ad hoc networks ; Agricultural ecosystems ; Agricultural land ; Agricultural production ; Agriculture ; Automation ; Big Data ; Cognitive radio ; Communication ; Computer architecture ; Data storage ; Digital agriculture ; Embedded systems ; Energy efficiency ; Environmental conditions ; Farming ; Field programmable gate arrays ; Food security ; green technologies ; Humidity ; Internet of Things ; Natural resources ; Population decline ; Productivity ; Quality of service ; Sensors ; Software ; Spectrum allocation ; sustainable agriculture ; sustainable environment ; Wireless networks ; Wireless sensor networks
É parte de: Applied sciences, 2022-04, Vol.12 (7), p.3396
Descrição: The growth of the global population coupled with a decline in natural resources, farmland, and the increase in unpredictable environmental conditions leads to food security is becoming a major concern for all nations worldwide. These problems are motivators that are driving the agricultural industry to transition to smart agriculture with the application of the Internet of Things (IoT) and big data solutions to improve operational efficiency and productivity. The IoT integrates a series of existing state-of-the-art solutions and technologies, such as wireless sensor networks, cognitive radio ad hoc networks, cloud computing, big data, and end-user applications. This study presents a survey of IoT solutions and demonstrates how IoT can be integrated into the smart agriculture sector. To achieve this objective, we discuss the vision of IoT-enabled smart agriculture ecosystems by evaluating their architecture (IoT devices, communication technologies, big data storage, and processing), their applications, and research timeline. In addition, we discuss trends and opportunities of IoT applications for smart agriculture and also indicate the open issues and challenges of IoT application in smart agriculture. We hope that the findings of this study will constitute important guidelines in research and promotion of IoT solutions aiming to improve the productivity and quality of the agriculture sector as well as facilitating the transition towards a future sustainable environment with an agroecological approach.
Editor: Basel: MDPI AG
Idioma: Inglês

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IoT-Enabled Smart Agriculture: Architecture, Applications, and Challenges

Quy, Vu Khanh ; Hau, Nguyen Van ; Anh, Dang Van ; Quy, Nguyen Minh ; Ban, Nguyen Tien ; Lanza, Stefania ; Randazzo, Giovanni ; Muzirafuti, Anselme

Basel: MDPI AG

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