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Prestes Pedroso , T
McCarty, D
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Authors
Prestes Pedroso , T
Morlin Carneiro, F
Lopes de Brito Filho, A
Teixeira Fialho, C.M
da Silva Brochado, M.G
Morlin Carneiro, F
Carrillo Montoya, K
De Guzman, C
Burgos, N
Ramos, L
Gyanwali, P
Uzoetoh, U
McCarty, D
Reddy Kalluri, R
Mason, D
Topics
Remote and Proximal Sensing of Soils and Crops
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Type
Poster
Oral
Year
2026
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Filter results2 paper(s) found.

1. Estimation of Weed Germination (Eleusine Indica and Amaranthus Spp.) Using Proximal Remote Sensing

Weeds are significant obstacles to the yield of commercial crops, leading to considerable economic losses worldwide. These plants compete directly with desired crops for essential resources such as water, light, and nutrients, and they can complicate agricultural management practices. In this context, early identification and understanding of the initial stages of weed development, such as germination, are crucial for enhancing management strategies and reducing both economic and environmental... T. Prestes Pedroso , F. Morlin Carneiro, A. Lopes De Brito Filho, C.M. Teixeira Fialho, M.G. Da Silva Brochado, F. Morlin Carneiro

2. Temporal NDRE Dynamics from UAS Imagery to Characterize Rice Drought Response

Characterizing drought resilience in rice remains challenging under increasing climate variability. Drought tolerance is a complex and dynamic trait that is difficult to quantify using traditional field phenotyping approaches, particularly when responses vary with time. High-throughput temporal phenotyping with unmanned aircraft systems (UAS) enables monitoring of canopy reflectance dynamics associated with water stress across the growing season. This study evaluated whether temporal...