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Alves, M.N
Andrade, M
Aguiar Jordão, F
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Authors
Aguiar Jordão, F
Santos, D.J
Dalevedo, G.D
Gaion, L.A
Pascoaloto, I.M
Fernandes, E
, J
Lemos, T.F
Cifuentes Arenas, J
Lunewski, C
Keil, F
Alves, M.N
Wulff, N.A
Topics
Site-Specific Nutrient, Lime and Seed Management
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Type
Poster
Oral
Year
2026
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1. Silage Corn Production Under Different Management Strategies: Conventional and 4.0

Agriculture 4.0 has emerged as a strategic tool to maximize operational efficiency and environmental sustainability in agricultural production. The integration of telemetry, automation, and spatial data analysis facilitates more precise management, reducing input waste and enhancing production predictability relative to traditional methods. In this context, the objective of this study was to evaluate the impact of adopting Agriculture 4.0 technologies on the agronomic performance and productive... F. Aguiar Jordão, D.J. Santos, G.D. Dalevedo, L.A. Gaion, I.M. Pascoaloto, E. Fernandes, J. , T.F. Lemos

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