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Agarwal, D
Cesario Pereira Pinto, J
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Authors
Cesario Pereira Pinto, J
Thompson, L
Mueller, N
Mieno, T
Balboa, G
Puntel, L
Agarwal, D
Tharzeen, A
Natarajan, B
Topics
In-Season Nitrogen Management
Artificial Intelligence (AI) in Agriculture
Type
Oral
Year
2022
2024
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1. Evaluation of Nitrogen Recommendation Tools for Winter Wheat in Nebraska

Attaining both high yield and high nitrogen (N) use efficiency (NUE) simultaneously remains a current research challenge in crop production. Digital ag technologies for site-specific N management have been demonstrated to improve NUE. This is due to the ability of digital technologies to account for the spatial and temporal distribution of crop N demand and available soil N in the field which varies greatly according to... J. Cesario pereira pinto, L. Thompson, N. Mueller, T. Mieno, G. Balboa, L. Puntel

2. Active Learning-based Measurements Prediction in Sparsely Observed Agricultural Fields

The sustainability of farming methods relies on the quality of soil health. Rich soil supplies vital nutrients to plants. The soil structure and aggregation possess crucial physical attributes that facilitate the infiltration of water and air, as well as enable roots to explore. Long-term and extensive monitoring of soil data is crucial for obtaining important information into the water dynamics of the land surface. Soil moisture dynamics play a critical role in the hydrothermal process that occurs... D. Agarwal, A. Tharzeen, B. Natarajan