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Manjunatha, H
Morgan Pereira, P.H
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Authors
Sundaravadivel, P
Manjunatha, H
Borah, S
Anand, A
Price, A
Torbert, H
Tamil, L
Stroud, T
Sundaravadivel, P
Borah, S
Manjunatha, H
Kumpatla, S.P
Tamil, L
Knight, P
Stroud, T
Morgan Pereira, P.H
Costa Piazza, G
Usman, K
Santos Comelli da Silveira, L
Cella Ceriotti, V
de Souza Pazin, Y
Pignaton de Freitas, E
Wagner, N.K
Teixeira, C
Fontena, V
Junior, C.S
Cruz, O.A
Morgan Pereira, P.H
Topics
UAV-Based Scouting, Imaging, and Targeted Applications
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Wireless Sensor Networks, Edge Computing, and Farm Connectivity
Agricultural Robotics, Automation, and Mechanization
Type
Poster
Oral
Year
2026
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1. Agronomist-in-the-Loop Semantic 3D Reconstruction of Cotton Boll Morphology from UAV Imagery for Precision Agriculture

Standard aerial photogrammetry is failing precision agriculture in one specific area: the detailed morphological assessment of complex, cluttered canopies. While creating a field-level map is trivial, recovering the geometry of a single cotton boll from a drone altitude of 30 meters is often mathematically intractable for standard Structure-from-Motion (SfM) solvers. These traditional pipelines depend on pixel-perfect consistency, which breaks down amidst... P. Sundaravadivel, H. Manjunatha, S. Borah, A. Anand, A. Price, H. Torbert, L. Tamil, T. Stroud

2. A Multimodal Spectral-Robustness-LLM Pipeline for Non-Destructive Identification of Loropetalum chinense Cultivars

Proprietary cultivars of ornamental shrub Loropetalum chinense, particularly the visually and spectrally similar ‘Cerise Charm’, ‘Purple Daybreak’, and ‘Red Diamond’, derive their market value from the intensity and stability of anthocyanin pigmentation, a trait that degrades subtly under abiotic stress. Reliance on manual (visual) grading makes the industry vulnerable to these latent, pre-manifestation pigment losses, which are often detected only... P. Sundaravadivel, S. Borah, H. Manjunatha, S.P. Kumpatla, L. Tamil, P. Knight, T. Stroud

3. A Decentralized Digital Twin Architecture for Interoperable Digital Agriculture Systems

The increasing digitalization of agriculture has driven the widespread adoption of heterogeneous sensing systems, autonomous platforms, and data-driven decision-support tools. Despite these advances, interoperability limitations at both the syntactic and semantic levels remain a major challenge, hindering the scalable integration and coordinated operation of agricultural assets. Current agricultural systems are often developed as vertical, vendor-specific solutions, resulting in fragmented... P.H. Morgan Pereira, G. Costa Piazza, K. Usman, L. Santos Comelli Da Silveira, V. Cella Ceriotti, Y. De Souza Pazin, E. Pignaton De Freitas

4. 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