Proceedings
Authors
| Filter results4 paper(s) found. |
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1. Fostering Student Engagement and Leadership Development in Integrative Precision Agriculture Across BordersEfforts to advance integrative precision agriculture technologies are growing exponentially across the globe with the common interest of upholding food security and developing more sustainable food and fiber production systems. Countries such as the United States and Brazil are among the biggest crop producers in the world and will play an even bigger role in food security in the next decades. It is of utmost importance that countries can advance together to overcome future food production challenges... L. Lacerda, A. Felipe Dos Santos, E. Bedwell, A. Jakhar, T.O. Costa Barboza, M. Ardigueri |
2. Using Hyperspectral Imagery to Monitor Peanut Physiological Responses to Water StressPeanut production in Georgia plays an important role in the United States agriculture, as it is the country’s largest peanut producer. However, increasing climate variability poses major risks in peanut productivity, particularly through drought and heat stress. This study aimed to detect and monitor physiological responses of nine peanut genotypes under irrigated and drought conditions using high-resolution hyperspectral imaging (HSI). A field trial was conducted in the 2025 season at the... |
3. Predicting Maize Physiological Traits from Multispectral UAV Imagery Using Machine Learning AlgorithmsMaize has major global importance for human and animal nutrition. The identification of physiological parameters is an essential tool for decision-making in crop management. When associated with these parameters, machine learning (ML) enables the analysis of large volumes of data, making it a suitable approach for robust datasets. Therefore, this study aimed to estimate physiological parameters correlated with vegetation indices through the application of ML models across different field areas.... E. Amaral, T. Costa Barboza, M. Ardigueri, U. Sigdel, L. Lacerda, A. Felipe Dos Santos |
4. Optimal Hyperspectral Band Selection for UAV-Based Aflatoxin Risk Prediction in Peanut FieldSouth Georgia’s humid subtropical climate and well-drained sandy soils make Georgia the leading peanut (Arachis hypogaea L.) producing region in the United States, accounting for more than half of the nation's production. However, aflatoxin contamination caused by Aspergillus fungi remains a significant concern, posing serious food safety risks and causing substantial economic losses. Rising temperatures and humidity from the climate crisis create ideal conditions for fungi,... N. Niva, L. Lacerda, G. Vellidis, S. Maktabi, M. Ardigueri |