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De Oliveira Vieira, I
Dhaliwal, A.K
Da Costa, O.P
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Authors
Costa Barboza, T
Da Costa, O.P
Queiroz, R.F
Lacerda, L
Felipe dos Santos, A
Silva, S.G
Bhattarai, A
Jakhar, A
Poudel, K
Dhaliwal, A.K
Bastos, L.M
Topics
Remote and Proximal Sensing of Soils and Crops
Weather, Climate Models, and Smart Forecasting for Agriculture
Type
Poster
Year
2026
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1. Detection of Chlorophyll A and B in Maize Using Visible Reflectance under Conventional and Variable Rate Nitrogen Management

Plant-environmental interactions regulate physiological aspects that determine crop yield. However, measuring physiological parameters in-field remains a challenge, as sampling often requires time-consuming laboratory analysis. Therefore, this study analyzed the influence of reflectance using a handheld sensor in detect chlorophyll A and B in different nitrogen application strategies before and after sidedressing. The experiment was conducted at a commercial farm in Campo do Meio, Minas Gerais,... T. Costa Barboza, O.P. Da Costa, R.F. Queiroz, L. Lacerda, A. Felipe Dos Santos, S.G. Silva

2. Evaluation of Kriging Models and Variogram Structures for Daily Weather Interpolation Across Georgia, United States

Spatial interpolation fills gaps between scattered weather stations to create continuous maps of variables like temperature. In Georgia, USA—a state with rolling hills in the north, coastal plains in the south, and the Appalachian foothills—this process is vital for accurate climate monitoring, irrigation scheduling, and crop-yield forecasting. Without reliable grids, downstream models suffer from bias or uncertainty. This study aimed to assess...