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Article

Smart Strawberry Farming Using Edge Computing and IoT

Instituto Nacional de Telecomunições (INATEL) Santa Rita Sapucai, Santa Rita do Sapucai 37540-000, MG, Brazil
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Academic Editors: Ionut Anghel, Tudor Cioara and Marcel Antal
Sensors 2022, 22(15), 5866; https://doi.org/10.3390/s22155866 (registering DOI)
Received: 15 June 2022 / Revised: 27 July 2022 / Accepted: 29 July 2022 / Published: 5 August 2022
Strawberries are sensitive fruits that are afflicted by various pests and diseases. Therefore, there is an intense use of agrochemicals and pesticides during production. Due to their sensitivity, temperatures or humidity at extreme levels can cause various damages to the plantation and to the quality of the fruit. To mitigate the problem, this study developed an edge technology capable of handling the collection, analysis, prediction, and detection of heterogeneous data in strawberry farming. The proposed IoT platform integrates various monitoring services into one common platform for digital farming. The system connects and manages Internet of Things (IoT) devices to analyze environmental and crop information. In addition, a computer vision model using Yolo v5 architecture searches for seven of the most common strawberry diseases in real time. This model supports efficient disease detection with 92% accuracy. Moreover, the system supports LoRa communication for transmitting data between the nodes at long distances. In addition, the IoT platform integrates machine learning capabilities for capturing outliers in collected data, ensuring reliable information for the user. All these technologies are unified to mitigate the disease problem and the environmental damage on the plantation. The proposed system is verified through implementation and tested on a strawberry farm, where the capabilities were analyzed and assessed.
Keywords: Internet of Things; computer vision; machine learning; LoRa Internet of Things; computer vision; machine learning; LoRa
MDPI and ACS Style

Cruz, M.; Mafra, S.; Teixeira, E.; Figueiredo, F. Smart Strawberry Farming Using Edge Computing and IoT. Sensors 2022, 22, 5866. https://doi.org/10.3390/s22155866

AMA Style

Cruz M, Mafra S, Teixeira E, Figueiredo F. Smart Strawberry Farming Using Edge Computing and IoT. Sensors. 2022; 22(15):5866. https://doi.org/10.3390/s22155866

Chicago/Turabian Style

Cruz, Mateus, Samuel Mafra, Eduardo Teixeira, and Felipe Figueiredo. 2022. "Smart Strawberry Farming Using Edge Computing and IoT" Sensors 22, no. 15: 5866. https://doi.org/10.3390/s22155866

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