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Gomes Maia, L.K
Yu, Y
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Authors
Bishop, T
Yu, Y
Tilse, M.J
Filippi, P
Gomes Maia, L.K
Freitas, E
Dias, W.V
da Silva , J.F
Silva , B.D
Abud, H.F
G. Gomes, D
dos Santos e Silva, P
Topics
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Type
Oral
Poster
Year
2026
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1. Soil Water Nowcasting for Site-specific Yield Potential Estimation

Knowing how much plant available water (PAW) is stored across a field at key decision points in the growing season is fundamental to precision agriculture. Spatial variability in soil water translates directly into variability in water-limited yield potential, yet most growers lack the tools to quantify this at the within-field scale. Here we present a Soil Water-Energy Balance (SWEB) model that offers a framework to deliver daily, 30 m resolution estimates of PAW across any dryland paddock... T. Bishop, Y. Yu, M.J. Tilse, P. Filippi

2. Evaluation of the DeepLab Family of Architectures in Segmentation Internal Brachiaria Seed Structures by X-ray Images

Seed vigor is an essential factor for the uniform emergence of seedlings and for the proper establishment of crops, being directly associated with the productive potential of agricultural crops. Accurate evaluation of this vigor is therefore fundamental for decision-making in seed management and production. Among the methods used for the analysis of physiological quality, the use of X-ray images stands out for allowing the non-destructive visualization of internal morphological structures of seeds,... L.K. Gomes Maia, E. Freitas, W.V. Dias, J.F. Da Silva , B.D. Silva , H.F. Abud, D. G. Gomes, P. Dos Santos E Silva