Abstract
Nitrogen (N) use efficiency has been an important issue to farmers and researchers for at least three decades. Profit-maximizing farmers apply N fertilizer up to the point of yield optimization; thus, by virtue of being rational decision makers, they do not intentionally over apply inputs. Over-application of N fertilizer has been suspected of contributing to environmental problems. Environmental stewardship and on-farm profitability can simultaneously be improved by optimum site-specific application rates of N; and one solution to this problem is automation of the decision-making process of choosing optimal site-specific application rates. Coordinated multi-state research on cotton lint yield response to N application rates with canopy reflectance measured as normalized difference vegetative index (NDVI) over a range of time periods was conducted from 2004 to 2012. State-level algorithms have been developed from individual field studies; however this prospectively planned study assimilated existing field studies into an aggregated data set suitable for data mining. Aggregate data analyses empower researchers to explore and discover new practices that may have been unattainable via individual analyses of field studies. The overall research objective was to develop NDVI-based on-the-go N fertilizer application algorithms for cotton. Research goals were achieved by analyzing data from this sequentially designed multi-state experiment that followed similar protocols to establish relationships between reflectance data and cotton lint yield as part of the process of using these sensors for on-the-go N management. We use a N deficiency method to estimate N recommendation multipliers for calibration of a global algorithm allowing region-specific parameters.
| Original language | English (US) |
|---|---|
| Title of host publication | American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014 |
| Publisher | American Society of Agricultural and Biological Engineers |
| Pages | 2780-2794 |
| Number of pages | 15 |
| Volume | 4 |
| ISBN (Print) | 9781632668455 |
| State | Published - 2014 |
| Externally published | Yes |
| Event | American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014 - Montreal, Canada Duration: Jul 13 2014 → Jul 16 2014 |
Other
| Other | American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014 |
|---|---|
| Country | Canada |
| City | Montreal |
| Period | 7/13/14 → 7/16/14 |
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Keywords
- Aggregate data
- Automation
- Cotton
- Data analysis
- Data integration
- Data mining
- Economics
- NDVI
- Nitrogen use efficiency
- Sensing
- Yield response
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Mechanical Engineering
Cite this
Pooled analysis of combined primary data across multiple states and investigators for the development of a NDVI-based on-the-go nitrogen application algorithm for cotton. / Griffin, T. W.; Barnes, E. M.; Allen, P. A.; Andrade Sanchez, Pedro; Amall, D. B.; Balkcom, K.; Barber, L. T.; Bauer, P.; Bronson, K. F.; Buschermohle, M. J.; Jones, A. P.; Ge, Y.; Roberson, G.; Taylor, R. K.; Tubana, B. S.; Varco, J. J.; Vellidis, G.; Vories, E. D.; Wilkerson, J. B.; Yin, X.
American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014. Vol. 4 American Society of Agricultural and Biological Engineers, 2014. p. 2780-2794.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Pooled analysis of combined primary data across multiple states and investigators for the development of a NDVI-based on-the-go nitrogen application algorithm for cotton
AU - Griffin, T. W.
AU - Barnes, E. M.
AU - Allen, P. A.
AU - Andrade Sanchez, Pedro
AU - Amall, D. B.
AU - Balkcom, K.
AU - Barber, L. T.
AU - Bauer, P.
AU - Bronson, K. F.
AU - Buschermohle, M. J.
AU - Jones, A. P.
AU - Ge, Y.
AU - Roberson, G.
AU - Taylor, R. K.
AU - Tubana, B. S.
AU - Varco, J. J.
AU - Vellidis, G.
AU - Vories, E. D.
AU - Wilkerson, J. B.
AU - Yin, X.
PY - 2014
Y1 - 2014
N2 - Nitrogen (N) use efficiency has been an important issue to farmers and researchers for at least three decades. Profit-maximizing farmers apply N fertilizer up to the point of yield optimization; thus, by virtue of being rational decision makers, they do not intentionally over apply inputs. Over-application of N fertilizer has been suspected of contributing to environmental problems. Environmental stewardship and on-farm profitability can simultaneously be improved by optimum site-specific application rates of N; and one solution to this problem is automation of the decision-making process of choosing optimal site-specific application rates. Coordinated multi-state research on cotton lint yield response to N application rates with canopy reflectance measured as normalized difference vegetative index (NDVI) over a range of time periods was conducted from 2004 to 2012. State-level algorithms have been developed from individual field studies; however this prospectively planned study assimilated existing field studies into an aggregated data set suitable for data mining. Aggregate data analyses empower researchers to explore and discover new practices that may have been unattainable via individual analyses of field studies. The overall research objective was to develop NDVI-based on-the-go N fertilizer application algorithms for cotton. Research goals were achieved by analyzing data from this sequentially designed multi-state experiment that followed similar protocols to establish relationships between reflectance data and cotton lint yield as part of the process of using these sensors for on-the-go N management. We use a N deficiency method to estimate N recommendation multipliers for calibration of a global algorithm allowing region-specific parameters.
AB - Nitrogen (N) use efficiency has been an important issue to farmers and researchers for at least three decades. Profit-maximizing farmers apply N fertilizer up to the point of yield optimization; thus, by virtue of being rational decision makers, they do not intentionally over apply inputs. Over-application of N fertilizer has been suspected of contributing to environmental problems. Environmental stewardship and on-farm profitability can simultaneously be improved by optimum site-specific application rates of N; and one solution to this problem is automation of the decision-making process of choosing optimal site-specific application rates. Coordinated multi-state research on cotton lint yield response to N application rates with canopy reflectance measured as normalized difference vegetative index (NDVI) over a range of time periods was conducted from 2004 to 2012. State-level algorithms have been developed from individual field studies; however this prospectively planned study assimilated existing field studies into an aggregated data set suitable for data mining. Aggregate data analyses empower researchers to explore and discover new practices that may have been unattainable via individual analyses of field studies. The overall research objective was to develop NDVI-based on-the-go N fertilizer application algorithms for cotton. Research goals were achieved by analyzing data from this sequentially designed multi-state experiment that followed similar protocols to establish relationships between reflectance data and cotton lint yield as part of the process of using these sensors for on-the-go N management. We use a N deficiency method to estimate N recommendation multipliers for calibration of a global algorithm allowing region-specific parameters.
KW - Aggregate data
KW - Automation
KW - Cotton
KW - Data analysis
KW - Data integration
KW - Data mining
KW - Economics
KW - NDVI
KW - Nitrogen use efficiency
KW - Sensing
KW - Yield response
UR - http://www.scopus.com/inward/record.url?scp=84911403330&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84911403330&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84911403330
SN - 9781632668455
VL - 4
SP - 2780
EP - 2794
BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014
PB - American Society of Agricultural and Biological Engineers
ER -