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Use of Multispectral Imagery for Identifying Cotton Production Application Zones

This study investigates the effectiveness of multispectral imagery in identifying productivity zones in cotton production. By utilizing airborne multispectral imaging, the research aimed to map cotton vigor zones accurately and assess whether imagery from one year could predict these zones in subsequent years. Through field data collection and comparative analysis, findings indicate that productivity zones remain stable over time and can be effectively utilized for variable rate application prescriptions, optimizing cotton yield management.

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Use of Multispectral Imagery for Identifying Cotton Production Application Zones

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  1. Beltwide Cotton Conference Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp January 6-10, 2003

  2. 1. Introduction • Researchers have been trying to identify the correct management zones based mainly on the variability of the crop yield. • Airborne multispectral imaging of cotton can provide important spatial information • Spatial variations in crop vigor can be observed in green, red and near infrared wavebands • Multispectral images can be used to monitor the spatial and temporal changes in the growth of crops

  3. Objective • The purpose of this study was to investigate the use of multispectral imagery • As a tool to map cotton vigor zones • Test the hypothesis that imagery from one year would map the zones in subsequent years (Zones are stable in time and space) • Could these maps be a tool for variable rate application prescriptions in the following year

  4. 2. Material & Methods • Positioning System • GPS NAVMAN / IPAQ • Softwares • COTMAN • Farm Site Mate • ERDAS Image • SSToolbox • SAS • Imagery Acquisition • Duncan’s camera (Green, Red, Near Infrared bands) • 0.5 to 1.5 meter resolution images were utilized

  5. Field Data Collected • Standard Data by productivity zone • Stand • Height • Total Nodes • Total Bolls • Yield Map Data • Total Final Plant Maps

  6. 3. Results and Discussion IMAGE x NDVI - Barn- Moose Lodge- Traveler Rest

  7. 3. Results and Discussion Barn 9 - 2001 Low Low Medium Medium High High

  8. NDVI x NDVI – Barn NDVI 2001 NDVI 2002

  9. 3. Results and Discussion Moose Lodge 2 - 2002 Low High Low High Medium Medium

  10. NDVI x NDVI – Moose Lodge NDVI 2001 NDVI 2002

  11. 3. Results and Discussion Traveler’s Rest 1 - 2002 High High Medium Medium Low Low

  12. NDVI x NDVI – Traveler’s Rest NDVI 2001 NDVI 2002

  13. 3. Results and Discussion Wildy 4 – 2002 (Irrigated) Medium Medium High High Low Low

  14. NDVI x Yield – Wildy (Irrigated) Yield 1998 NDVI 2002

  15. 3. Results and Discussion Year 2001 vs Year 2002- Stand- Height- Total Nodes- Total Bolls

  16. 3. Results and Discussion STAND 2001 vs 2002 BARN TRAVELERS REST MOOSE LODGE Tukey's Studentized Test with alpha at 5% - Means with the same letter are not significantly different.

  17. 3. Results and Discussion BARN HEIGHT 2001 vs 2002 TRAVELERS REST MOOSE LODGE Tukey's Studentized Test with alpha at 5% - Means with the same letter are not significantly different.

  18. 3. Results and Discussion TOTAL NODES 2001 vs 2002 BARN TRAVELERS REST MOOSE LODGE Tukey's Studentized Test with alpha at 5% - Means with the same letter are not significantly different.

  19. 3. Results and Discussion BARN TOTAL BOLLS 2001 vs 2002 TRAVELERS REST MOOSE LODGE Tukey's Studentized Test with alpha at 5% - Means with the same letter are not significantly different.

  20. Summary and Conclusions

  21. Summary and Conclusions • Some researchers have reported in other areas of the country that zones change position. • May be due to wet soil conditions • May not have enough total variability in the field to fully express zone identity • In our study the medium zones may or may not be significantly different from either the low or high zone from one year to the next

  22. In West Tennessee • Zones did not move from year to year. • With over 100 fields studied across three years • Final Plant Map data were collected from each of the five NDVI classed zones in each field • We never found that the low classed NDVI zone or the High Classed NDVI zone were incorrectly identified • Confirmation plots agreed completely with research site data

  23. Implications • NDVI classed maps obtained after 550 DD60 NAWF 5 but prior to defoliation • Will accurately map the productivity zones for the following years • Will allow for the opportunity to plan Variable Rate Applications based on those classed maps in subsequent years • Correctly maps and predicts the cotton vigor to be expressed in those areas

  24. Acknowledgements • National Cotton Council • National Science Foundation

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