Title:	Evaluation of an IoT System Used with Sensors for the Recognition of Invasive Plants in Groundnut Crops.
Authors:	MORENO, B. M. CRUVINEL, P. E. COSTA, A. G. F.
Affiliation:	FEDERAL UNIVERSITY OF SÃO CARLOS; PAULO ESTEVAO CRUVINEL, CNPDIA; FEDERAL UNIVERSITY OF SÃO CARLOS.
Date Issued:	2025
Citation:	In: THE TENTH INTERNATIONAL CONFERENCE ON ADVANCES IN SENSORS, ACTUATORS, METERING AND SENSING - ALLSENSORS 2025, 2025, Nice, France. Proceedings... Wilmington, USA: IARIA, 2025.
Pages:	7 p.
Description:	Sensors are quite important for data collection from the physical agricultural world, and also a key part of the Internet of Things (IoT) ecosystem. The IoT has enabled monitoring and automation in agriculture, supporting the implementation of precision agriculture applications using sensors in the field. However, the effectiveness of these systems depends on the accurate verification and assessment of network parameters such as connectivity, sensor reliability, and data integrity. Ensuring the proper functioning of IoT devices is crucial to maintaining efficiency, reducing costs, and improving overall agricultural outcomes. This study highlights factors to consider when developing an IoT system based on an experimental field study for pattern recognition of invasive plants in groundnut crops, resulting in classifiers with an accuracy of approximately 80%.
Keywords:	IoT sensor IoT communication Pattern recognition Weed management
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CNPDIA)