Smart Agricultural System using Proximal Sensing, Artificial Intelligence and LoRa technology

Araujo, Sara Oleiro; Peres, Ricardo Silva; Pian, Livia Bischof; Lidon, Fernando; Ramalho, Jose Cochicho; Barata, Jose

http://hdl.handle.net/10362/181224

Utilize este identificador para referenciar este registo.

Nome:	Descrição:	Tamanho:	Formato:
Smart_Agricultural_System_Using_Proximal_Sensing_Artificial_Intelligence_and_LoRa_Technology_A_Case_Study_in_Vineyard_Management.pdf		3.34 MB	Adobe PDF	Ver/Abrir

Contacte-nos

Autores

Ramalho, Jose Cochicho

Barata, Jose

Resumo(s)

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.

Descrição

Palavras-chave

Agriculture 4.0 Decision Support System Internet of Things LoRaWAN Machine Learning Node-RED Wireless Sensor Network General Computer Science General Materials Science General Engineering