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Oliveira, J.R
Oliveira, R.P
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Authors
Matwijou, B
Oliveira, J.R
da Silva, M
Scheidt, G.G
Lopes de Brito Filho, A
da Silva Brochado, M.G
Morlin Carneiro, F
Oliveira, R.P
Silva, J.P
Martins, J.V
Dos Santos, R
Barbosa, M
Oliveira, L
Topics
Remote and Proximal Sensing of Soils and Crops
Precision Horticulture and Specialty Crop Management
Type
Poster
Year
2026
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1. Remote Sensing for Identifying Soybean Cultivars and Estimating Crop Yields

Traditional methods for cultivar identification and agricultural productivity estimation have been increasingly complemented or replaced by innovative approaches using geotechnologies and Artificial Intelligence (AI). These modern techniques offer greater efficiency, speed, and sustainability in agricultural production systems. Among these advances, Remote Sensing (RS) has stood out as an effective tool for agricultural monitoring. It allows the collection of spectral and biophysical information... B. Matwijou, J.R. Oliveira, M. Da silva, G.G. Scheidt, A. Lopes de brito filho, M.G. Da silva brochado, F. Morlin carneiro

2. Integrated Evaluation of Precision Spraying Systems in Pecan Orchards: Smart Apply Systemâ„¢, Conventional Airblast, and Drone Application

Pecan production in Georgia faces increasing challenges related to weather variability, rising labor costs, and higher prices of agricultural inputs, particularly fungicides required for scab (Venturia effusa) management. Conventional air-assisted sprayers operate at fixed application rates and do not account for tree size variability or canopy gaps, often resulting in overapplication and reduced efficiency. Emerging precision technologies, such as Smart Apply™ sprayers and spray... R.P. Oliveira, J.P. Silva, J.V. Martins, R. Dos santos, M. Barbosa, L. Oliveira