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Alves de Lima, J.
Alwaseela, H
Adkins, J
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Authors
White, S
Adkins, J
Whaley, C
Da Silva, M.L
Alves de Lima, J.
Balbinot, A
Molin, J.P
Adedeji, O
Guo, W
Alwaseela, H
Ghimire, B
Wieber, E
Karn, R
Topics
Precision A-Z for Practitioners
Data Analytics for Production Ag
Drainage Optimization and Variable Rate Irrigation
Type
Poster
Oral
Year
2010
2024
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Filter results3 paper(s) found.

1. Precision Irrigation To Improve Water Use Efficiency

  Efficient water use is the key to sustainable management of water resources.  Over irrigating is wasteful and can lead to leaching of fertilizers and other potential pollutants into both underground and surface water supplies, whereas under irrigation leads to reduced yields.  The spatial and temporal characterization of crop water consumption is important for efficient management of water resources and allows water delivery to match agricultural demands.   Research... S. White, J. Adkins, C. Whaley

2. Yield Analysis in Sugarcane Harvesters Using Design of Experiments (DoE) Methodology

The sugarcane crop is highlighted in national agribusiness, Brazil is the world’s largest producer of the plant, and the prospection of specialists is of strong growth for the next years. However, in order to increase productivity, technological interventions through of precision agriculture must be implemented. Among them, the management of inputs guided by yield spatial variability for otmizing production and income. This project approaches the implementation of the methodology of analysis... M.L. Da Silva, J. . Alves De Lima, A. Balbinot, J.P. Molin

3. Assessing Precision Water Management in Cotton Using Unmanned Aerial Systems and Satellite Remote Sensing

The goal of this study was to improve agricultural sustainability and water use efficiency by allocating the right amount of water at the right place and time within the field. The objectives were to assess the effect of variable rate irrigation (VRI) on cotton growth and yield and evaluate the application of satellites and Unmanned aerial systems (UAS) in capturing the spatial and temporal patterns of cotton growth response to irrigation. Irrigation treatments with six replications of three different... O. Adedeji, W. Guo, H. Alwaseela, B. Ghimire, E. Wieber, R. Karn