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Yalcin, H
Poncet, A.M
Carver, S.M
Chen, J
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Authors
Poncet, A.M
McDonald, T.P
Pate, G
TISSEYRE, B
Fulton, J.P
Chou, T
Yeh, M
Chen, J
Basso, B
Tekin, A.B
Yalcin, H
Prince Czarnecki, J.M
Wasson, L.L
Irby, J.T
Scholtes, A.B
Carver, S.M
Topics
Education and Training in Precision Agriculture
Modeling and Geo-statistics
Proximal Sensing in Precision Agriculture
Applications of Unmanned Aerial Systems
Type
Poster
Oral
Year
2012
2014
2018
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Filter results4 paper(s) found.

1. Maximizing Agriculture Equipment Capacity Using Precision Agriculture Technologies

Guidance systems are one of the primary Precision Agriculture technologies adopted by US farmers. While most practitioners establish their initial AB lines for fields based on previous management patterns, a potential exists in conducting analyses to establish AB lines or traffic patterns which maximize field capacity. The objective of this study was to... A.M. Poncet, T.P. Mcdonald, G. Pate, B. Tisseyre, J.P. Fulton

2. I-SALUS: New Web Based Spatial Systems for Simulating Crop Yield and Environmental Impact

  SALUS (System Approach to Land Use Sustainability) model is designed to simulate the impact of agronomic management on yield and environmental impact. SALUS model has new approaches and algorithms for simulating soil carbon, nitrogen, phosphorous, tillage, soil water balance and yield components. In the past, the use of the crop model was not easy for general... T. Chou, M. Yeh, J. Chen, B. Basso

3. Development Of Online Soil Profile Sensor For Variable Depth Tillage

Introduction First introduced in the early 1990s, precision agriculture technologies, or site-specific management, were considered by many to be perhaps the most significant development in production agriculture focused on improving farm profitability. The initial focus was on fertility, and treating the variability that we all knew existed from our experiences with soil sampling. However, to a large extent this application still... A.B. Tekin, H. Yalcin

4. Soybean Maturity Stage Estimation with Unmanned Aerial Systems

Many agronomic decisions in soybean production systems revolve around crop maturity. The primary objective of this research was to evaluate the ability of UAS to determine when soybeans have reached maturity stage sufficient for harvest aid application. A producer typically applies harvest aid chemicals when he or she perceives the crop has reached a critical level of maturity (R6.5) based on a subjective assessment. A convention is to apply harvest aids when 65% of soybean pods reach a mature... J.M. Prince czarnecki, L.L. Wasson, J.T. Irby, A.B. Scholtes, S.M. Carver