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Cruvinel, P
Wagner, N.K
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Authors
Risardi, J
Herrmann Junior, P
Torre Neto, A
Cruvinel, P
Wagner, N.K
Teixeira, C
Fontena, V
Junior, C.S
Cruz, O.A
Morgan Pereira, P.H
Feldman, M
da Cruz, O.R
Wagner, N.K
Glier, C
Müller, I
Fontena, V
Wagner, N.K
Teixeira, C
Lopes, J
Moura, L
Guimarães, C
Fonteca, V
Guimarães, C
Monteiro, M
Azevedo, I
da Rosa, A
Wagner, N.K
Teixeira, C
Topics
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Agricultural Robotics, Automation, and Mechanization
Wireless Sensor Networks, Edge Computing, and Farm Connectivity
Type
Poster
Oral
Year
2026
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1. Study of Temporal Microclimatic Variability and Its Impact on Soybean (Glycine max (L.) Merrill) Development in a Protected Environment: A Precision Agriculture Approach

Soybean, belonging to the Fabaceae family, is a leguminous crop of high economic and nutritional value, widely cultivated in Brazil, which ranks among the world’s largest producers and exporters. However, the growing demand for productivity has driven the adoption of digital technologies and Precision Agriculture (PA) methods aimed at intelligent crop management. In protected environments, cultivation allows the mitigation of external constraints, although it does not eliminate internal... J. Risardi, P. Herrmann Junior, A. Torre Neto, P. Cruvinel

2. Software Protocol Converters as Enablers for Interoperability in Heterogeneous Multi-Robot Systems

Advancements in agricultural robotics are driving a transition toward ecosystems composed of heterogeneous platforms from multiple manufacturers. In this context, robotic platforms from multiple vendors must coexist and collaborate to perform complex tasks, including autonomous monitoring and precision weeding. However, this evolution introduces a fundamental challenge: the lack of a standardized communication stack capable of supporting cross-platform integration. The widespread use of proprietary... N.K. Wagner, C. Teixeira, V. Fontena, C.S. Junior, O.A. Cruz, P.H. Morgan Pereira

3. Satellite-IoT Integration for Digital Agriculture: Advances and Challenges

Agriculture is an essential pillar of global food security, demanding continuous digital integration from seed selection and planting to post-harvest logistics and crop distribution. In this scenario, seamless communication is the primary enabler for data-driven decision-making, ensuring that critical information regarding environmental variables, soil moisture, and direct plant health indicators reaches processing platforms fast enough for agile operational responses. However, the expansion of... M. Feldman, O.R. Da Cruz, N.K. Wagner, C. Glier, I. Müller

4. Orchestration of Missions for Coordination between Autonomous Agents in Agriculture.

Due to technological advancement in agriculture, various autonomous agents, such as drones, mobile robots, and intelligent agricultural vehicles, are being used to automate repetitive tasks and increase agricultural production. In addition, these agents, often developed by different manufacturers and endowed with different capabilities, form a highly heterogeneous environment, imposing a central challenge to be solved: the need to manage these agents so that they can act in a coordinated and effective... V. Fontena, N.K. Wagner, C. Teixeira, J. Lopes, L. Moura, C. Guimarães

5. A Architecture for GNSS-Based Autonomous Navigation in Agricultural Robots

Global Navigation Satellite Systems (GNSS), especially when used with real-time correction techniques such as Real-Time Kinematic (RTK), are widely employed in precision agriculture due to their ability to provide accurate absolute positioning. This capability enables georeferenced operations such as planting, selective spraying, and autonomous navigation across large agricultural areas, even in environments with few structural references. In contrast, modern robotic navigation frameworks, such... V. Fonteca, C. Guimarães, M. Monteiro, I. Azevedo, A. Da Rosa, N.K. Wagner, C. Teixeira