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Andrade, M
Anand, A
Alves, M.N
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Authors
Sundaravadivel, P
Manjunatha, H
Borah, S
Anand, A
Price, A
Torbert, H
Tamil, L
Stroud, T
Cifuentes Arenas, J
Lunewski, C
Keil, F
Alves, M.N
Wulff, N.A
Topics
UAV-Based Scouting, Imaging, and Targeted Applications
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
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. Advanced 2D and 3D Image-Based Plant Phenotyping of Citrus Morphological Responses to Candidatus Liberibacter Asiaticus Infection

Huanglongbing (HLB), associated with Candidatus Liberibacter asiaticus (CLas), is the most destructive citrus disease worldwide and threatens the long-term sustainability of production because all commercially cultivated varieties are susceptible. Identifying tolerant or resistant genotypes has therefore become a central priority for modern citrus breeding programs. Conventional phenotyping based on visual scoring and manual measurements is time-consuming, labor intensive, subjective,... J. Cifuentes arenas, C. Lunewski, F. Keil, M.N. Alves, N.A. Wulff