Plataforma IoT Inteligente Usando Computa????o na Borda para Planta????es de Morango

• Ano de defesa: 2022
• Autor(a) principal: Da Cruz, Matheus Raimundo
• Orientador(a): Mafra Baraldi, Samuel , Alberti Marcos, Ant??nio
• Banca de defesa: Mafra Baraldi , Samuel , Alberti Marcos , Ant??nio , Lolis Assump????o , Luis Henrique
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Instituto Nacional de Telecomunica????es
• Programa de Pós-Graduação: Mestrado em Engenharia de Telecomunica????es
• Departamento: Instituto Nacional de Telecomunica????es
• País: Brasil
• Palavras-chave em Português: Internet das Coisas; Intelig??ncia Artificial; Redes de Sensores sem Fio; Aprendizado de M??quina; LoRa
• Área do conhecimento CNPq: Engenharia - Telecomunica????es
• Link de acesso: https://tede.inatel.br:8080/tede/handle/tede/240

The increasing demand for food in terms of quality and quantity due to population growth has raised the need for the industrialization of agriculture. As a result, resear chers and companies have developed several solutions that seek to increase efficiency and productivity in the field. In recent years, the Internet of Things (IoT) has found a significant place in the process of agricultural and food industrialization. IoT is a promising technology and is offering many innovative solutions to modernize the agri cultural sector. This is thanks to technological advances in sensors, data processing, computing power, and artificial intelligence that are demonstrating enormous potential to monitor and control farms and crops. These enormous changes are shaping many existing farming methods and creating a wave of opportunities to implement and test new technologies. In the future, these technologies could be the key to improving productivity as well as taking care of the environment thanks to the efficient use and optimization of the inputs used in farming. The research developed in this dissertation seeks to unify several of the emerging technologies in order to maximize efficiency and productivity in strawberry farming through a Wireless Sensor Network and IoT approach. An IoT Platform has been developed to capture, process, store, and display data to the user in an autonomous and intelligent manner. In addition, the platform also features a Computer Vision application that locates, detects, and classifies seven dise ases pertinent to strawberries. The platform uses LoRa technology for communication and data transmission between devices, allowing for extensive coverage and low power consumption. All implemented tools do not require Internet connection as a prerequi site, thus allowing crops in more remote areas. Thus, all functionalities pertinent to the IoT Platform are performed at the edge.