Smart Agricultural System Using Proximal Sensing, Artificial Intelligence, and LoRa Technology: A Case Study in Vineyard Management

Smart Agricultural System Using Proximal Sensing, Artificial Intelligence, and LoRa Technology: A Case Study in Vineyard Management

The agricultural sector faces significant challenges, including resource inefficiency, unpredictable weather conditions, and the need for sustainable practices. These issues necessitate the application of advanced methods introduced by Agriculture 4.0 to ensure productivity and sustainability. This...

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Bibliographic Details
Main Authors: Sara Oleiro Araujo, Ricardo Silva Peres, Livia Bischof Pian, Fernando Lidon, Jose Cochicho Ramalho, Jose Barata
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Agriculture 4.0
decision support system
Internet of Things
LoRaWAN
machine learning
node-RED
Online Access:https://ieeexplore.ieee.org/document/10719997/
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Summary:The agricultural sector faces significant challenges, including resource inefficiency, unpredictable weather conditions, and the need for sustainable practices. These issues necessitate the application of advanced methods introduced by Agriculture 4.0 to ensure productivity and sustainability. This paper focus on the application of the Intelligent Data-Driven Decision Support System for Agricultural Systems (ID3SAS) methodology to a proximal sensing case study aimed at improving vineyard management via monitoring and predictive modeling with Artificial Intelligence. The developed system was deployed in vineyards in Portugal, and provided a robust test-bed for real-world application.
ISSN:2169-3536

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