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Faucon, M
Oliveira, R.P
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Authors
Veiga, A
De Araujo, H
Tetard, L
Faucon, M
Ugarte, C
Nunes, D.N
Oliveira, R.P
Corrêdo, L.D
Peternelli, L
Pedrosa, A.W
Galvan, V.H
Souza, J
Topics
Site-Specific Nutrient, Lime and Seed Management
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Type
Oral
Poster
Year
2026
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1. Impact of Soil Heterogeneity and Precision Air Seed Drill Settings on Maize Emergence Uniformity: Toward Sensor-based Predictive Models

Soil spatial heterogeneity at the intra-field scale strongly constrains crop establishment. This heterogeneity in soil texture, strength, and moisture often leads to uneven seed-soil contact and inconsistent emergence, reducing yield potential. Extreme climatic conditions, such as soil saturation or drought, amplify these challenges and further compromise uniform crop emergence. Although this issue is widely acknowledged, accounting for soil heterogeneity remains poorly integrated in... A. Veiga, H. De Araujo, L. Tetard, M. Faucon, C. Ugarte

2. Management Zone Delineation for the Optimization of Nitrogen Use Efficiency in Arabica Coffee Crops

Precision coffee farming requires efficient methods for Nitrogen (N) management—an input of high cost and environmental impact, whose optimization faces challenges due to the topographical characteristics of regions such as the Zona da Mata in Minas Gerais, Brazil. This study evaluates and compares different dimensionality reduction models for agricultural management zone (MZ) delineation, aiming to maximize nitrogen fertilizer use efficiency in Arabica coffee plantations. A dataset comprising... D.N. Nunes, R.P. Oliveira, L.D. Corrêdo, L. Peternelli, A.W. Pedrosa, V.H. Galvan, J. Souza