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Adkins, J

Anderson, S.H

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Authors

White, S

Adkins, J

Whaley, C

Conway, L.S

Vong, C

Kitchen, N.R

Sudduth, K.A

Anderson, S.H

Topics

Precision A-Z for Practitioners

Site-Specific Nutrient, Lime and Seed Management

Type

Poster

Oral

Year

2010

2022

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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 Download paper
2. Predicting Corn Emergence Uniformity with On-the-go Furrow Sensing Technology Integration of proximal soil sensors into commercial row-crop planter components have allowed for a dense quantification of within-field soil spatial variability. These technologies have potential to guide real-time management decisions, such as on-the-go variable seeding rate or depth. However, little is known about the performance of these systems. Therefore, research was conducted in central Missouri, USA to determine the relationship between planter sensor metrics, and corn (Zea mays L.) ... L.S. Conway, C. Vong, N.R. Kitchen, K.A. Sudduth, S.H. Anderson Download paper

Filter results2 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

Download paper

2. Predicting Corn Emergence Uniformity with On-the-go Furrow Sensing Technology

Integration of proximal soil sensors into commercial row-crop planter components have allowed for a dense quantification of within-field soil spatial variability. These technologies have potential to guide real-time management decisions, such as on-the-go variable seeding rate or depth. However, little is known about the performance of these systems. Therefore, research was conducted in central Missouri, USA to determine the relationship between planter sensor metrics, and corn (Zea mays L.) ... L.S. Conway, C. Vong, N.R. Kitchen, K.A. Sudduth, S.H. Anderson

Download paper