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Erthal, L.V
Eramian, M
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Authors
Azevedo, I.D
Salton, A.T
Castro, R.D
Erthal, L.V
Lotfi, A
Shirtliffe, S
Carter, A
Ha, T
Eramian, M
Neupane, S
Topics
Precision Dairy, Livestock, and Animal Welfare Monitoring
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Type
Oral
Year
2026
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1. Estimation of Broiler Chicken Mass using Computer Vision with Convolutional Neural Network

In poultry farming, monitoring bird mass during rearing is crucial, as it enables farmers to adjust parameters such as feed supply and lighting to better control weight gain. However, the methods currently used in poultry houses, i.e. manual weighing or poultry scales, present drawbacks, including the inability to weigh a representative number of birds or the frequent maintenance required to keep the equipment clean. The present work aims to validate an alternative method for estimating the mass... I.D. Azevedo, A.T. Salton, R.D. Castro, L.V. Erthal

2. Semi-Automatic Plot Segmentation for Crop Phenotyping Using Adaptive Spectral Indices and SAM3

Yield trials and hill plots are widely used in plant breeding to evaluate large numbers of genotypes simultaneously. Extracting per-plot canopy boundaries from drone imagery is a key step in this process, but manual delineation is time-consuming, and rigid grid overlays do not account for true canopy boundaries. This paper presents an annotation-free pipeline for segmenting individual plots from multispectral drone imagery, requiring only approximate plot dimensions as input. The pipeline first... A. Lotfi, S. Shirtliffe, A. Carter, T. Ha, M. Eramian, S. Neupane