Proceedings
Authors
| Filter results4 paper(s) found. |
|---|
1. Satellite Imagery to Machine Learning Datasets: An Automated System for Soil Water Stress Monitoring in AgricultureSatellite remote sensing has become a key data source for precision agriculture, particularly for monitoring vegetation dynamics and soil water stress over large areas. Multispectral satellite imagery enables the computation of vegetation indices, including NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index), which are commonly employed to quantify vegetation health, vigor, and canopy development. However, the practical use of satellite imagery in data-driven agricultural... A. Heideker, E.A. Speranza, E. Ferreira, D. Silva, C. Kamienski, R. Bianchi |
2. Manifold-Based Time-Lag Analysis of Soil Water Availability and Satellite Vegetation Indices for Irrigation Monitoring in Coffee PlantationsMonitoring soil water availability is essential for optimizing irrigation in perennial crops such as coffee, yet deploying dense in situ sensor networks remains impractical at scale. Although sensors like IGstat provide high-fidelity measurements of soil-water matric potential (SMP), their installation and maintenance costs limit broad adoption. A scalable alternative is to integrate sparse in situ observations with satellite-derived vegetation indices, including the Normalized Difference Moisture... F. Johari, E. Ferreira, R. Prati |
3. Software Protocol Converters as Enablers for Interoperability in Heterogeneous Multi-Robot SystemsAdvancements 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 |
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 |