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Fantinel, R.A
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Authors
Amaral, L.D
Pereira da Silva, S.D
Fantinel, R.A
Richter, V
, N
Topics
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Type
Poster
Year
2026
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1. Evaluation of Convolutional Neural Network Architectures for Stress Detection in Eucalyptus saligna Using Multispectral UAV Imagery

Root malformation disorder (RMD) is a significant abiotic condition that impairs water and nutrient uptake in Eucalyptus saligna, leading to physiological stress and reduced stand uniformity. Early detection in commercial plantations is hampered by the extensive spatial scale and logistical limitations of manual field inspections. In this context, the present study evaluated the performance of three convolutional neural network (CNN) architectures, U-Net, U-Net++, and Attention U-Net, in detecting... L.D. Amaral, S.D. Pereira Da Silva, R.A. Fantinel, V. Richter, N.