Improving estimation of rice yield potential using active canopy sensor Crop Circle ACS 430 in Northeast China

J. Lu; Y. Miao; J. Shen; Q. Cao; S. Huang; H. Wang; H. Wu; S. Hu; X. Hu

doi:10.3920/978-90-8686-814-8_10

Improving estimation of rice yield potential using active canopy sensor Crop Circle ACS 430 in Northeast China

J. Lu
, Y. Miao
, J. Shen
, Q. Cao
, S. Huang
, H. Wang
, H. Wu
, S. Hu
, X. Hu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Crop Circle ACS 430 is a newly developed active crop canopy reflectance sensor with three fixed wavebands covering red (670 nm), red-edge (730 nm) and near infrared (NIR,780 nm) regions. The objective of this study was to determine how much improvement the Crop Circle ACS430 would achieve for estimating rice yield potential at key growth stages as compared with a GreenSeeker sensor. Four N rate experiments were conducted in 2012 and 2013 at Jiansanjiang Experiment Station of China Agricultural University, located in Sanjiang Plain, Heilongjiang Province, Northeast China. The results indicated that in-season estimate of yield (INSEY) calculated with GreenSeeker normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) could only explain 18% and 13% of variability in yield potential without additional topdressing N application (YP0) at panicle initiation stage and there was no significant relationship at heading stage. By comparison, the INSEY calculated with the best Crop Circle vegetation indices explained 35% and 58% of YP0 variability at these two stages, respectively. At stem elongation stage, the Crop Circle ACS-430 sensor (best R2=0.68) did not have any significant improvement over GreenSeeker RVI (R2=0.65). More studies are needed to further evaluate Crop Circle ACS-430 sensor for precision N management of rice under on-farm conditions.

Original language	English (US)
Title of host publication	Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015
Editors	John V. Stafford
Publisher	Wageningen Academic Publishers
Pages	91-96
Number of pages	6
ISBN (Electronic)	9789086862672
DOIs	https://doi.org/10.3920/978-90-8686-814-8_10
State	Published - 2015
Externally published	Yes
Event	10th European Conference on Precision Agriculture, ECPA 2015 - Tel-Aviv, Israel Duration: Jul 12 2015 → Jul 16 2015

Publication series

Name	Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015

Other

Other	10th European Conference on Precision Agriculture, ECPA 2015
Country/Territory	Israel
City	Tel-Aviv
Period	7/12/15 → 7/16/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger

Keywords

Crop circle ACS 430 sensor
Greenseeker sensor
Precision nitrogen management
Rice
Yield potential

Publisher link

10.3920/978-90-8686-814-8_10

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Cite this

Lu, J., Miao, Y., Shen, J., Cao, Q., Huang, S., Wang, H., Wu, H., Hu, S., & Hu, X. (2015). Improving estimation of rice yield potential using active canopy sensor Crop Circle ACS 430 in Northeast China. In J. V. Stafford (Ed.), Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015 (pp. 91-96). (Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-814-8_10

Improving estimation of rice yield potential using active canopy sensor Crop Circle ACS 430 in Northeast China. / Lu, J.; Miao, Y.; Shen, J. et al.
Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015. ed. / John V. Stafford. Wageningen Academic Publishers, 2015. p. 91-96 (Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lu, J, Miao, Y, Shen, J, Cao, Q, Huang, S, Wang, H, Wu, H, Hu, S & Hu, X 2015, Improving estimation of rice yield potential using active canopy sensor Crop Circle ACS 430 in Northeast China. in JV Stafford (ed.), Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015. Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015, Wageningen Academic Publishers, pp. 91-96, 10th European Conference on Precision Agriculture, ECPA 2015, Tel-Aviv, Israel, 7/12/15. https://doi.org/10.3920/978-90-8686-814-8_10

Lu J, Miao Y, Shen J, Cao Q, Huang S, Wang H et al. Improving estimation of rice yield potential using active canopy sensor Crop Circle ACS 430 in Northeast China. In Stafford JV, editor, Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015. Wageningen Academic Publishers. 2015. p. 91-96. (Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015). doi: 10.3920/978-90-8686-814-8_10

Lu, J. ; Miao, Y. ; Shen, J. et al. / Improving estimation of rice yield potential using active canopy sensor Crop Circle ACS 430 in Northeast China. Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015. editor / John V. Stafford. Wageningen Academic Publishers, 2015. pp. 91-96 (Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015).

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title = "Improving estimation of rice yield potential using active canopy sensor Crop Circle ACS 430 in Northeast China",

abstract = "Crop Circle ACS 430 is a newly developed active crop canopy reflectance sensor with three fixed wavebands covering red (670 nm), red-edge (730 nm) and near infrared (NIR,780 nm) regions. The objective of this study was to determine how much improvement the Crop Circle ACS430 would achieve for estimating rice yield potential at key growth stages as compared with a GreenSeeker sensor. Four N rate experiments were conducted in 2012 and 2013 at Jiansanjiang Experiment Station of China Agricultural University, located in Sanjiang Plain, Heilongjiang Province, Northeast China. The results indicated that in-season estimate of yield (INSEY) calculated with GreenSeeker normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) could only explain 18\% and 13\% of variability in yield potential without additional topdressing N application (YP0) at panicle initiation stage and there was no significant relationship at heading stage. By comparison, the INSEY calculated with the best Crop Circle vegetation indices explained 35\% and 58\% of YP0 variability at these two stages, respectively. At stem elongation stage, the Crop Circle ACS-430 sensor (best R2=0.68) did not have any significant improvement over GreenSeeker RVI (R2=0.65). More studies are needed to further evaluate Crop Circle ACS-430 sensor for precision N management of rice under on-farm conditions.",

keywords = "Crop circle ACS 430 sensor, Greenseeker sensor, Precision nitrogen management, Rice, Yield potential",

author = "J. Lu and Y. Miao and J. Shen and Q. Cao and S. Huang and H. Wang and H. Wu and S. Hu and X. Hu",

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booktitle = "Precision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015",

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AU - Lu, J.

AU - Miao, Y.

AU - Shen, J.

AU - Cao, Q.

AU - Huang, S.

AU - Wang, H.

AU - Wu, H.

AU - Hu, S.

AU - Hu, X.

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N2 - Crop Circle ACS 430 is a newly developed active crop canopy reflectance sensor with three fixed wavebands covering red (670 nm), red-edge (730 nm) and near infrared (NIR,780 nm) regions. The objective of this study was to determine how much improvement the Crop Circle ACS430 would achieve for estimating rice yield potential at key growth stages as compared with a GreenSeeker sensor. Four N rate experiments were conducted in 2012 and 2013 at Jiansanjiang Experiment Station of China Agricultural University, located in Sanjiang Plain, Heilongjiang Province, Northeast China. The results indicated that in-season estimate of yield (INSEY) calculated with GreenSeeker normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) could only explain 18% and 13% of variability in yield potential without additional topdressing N application (YP0) at panicle initiation stage and there was no significant relationship at heading stage. By comparison, the INSEY calculated with the best Crop Circle vegetation indices explained 35% and 58% of YP0 variability at these two stages, respectively. At stem elongation stage, the Crop Circle ACS-430 sensor (best R2=0.68) did not have any significant improvement over GreenSeeker RVI (R2=0.65). More studies are needed to further evaluate Crop Circle ACS-430 sensor for precision N management of rice under on-farm conditions.

AB - Crop Circle ACS 430 is a newly developed active crop canopy reflectance sensor with three fixed wavebands covering red (670 nm), red-edge (730 nm) and near infrared (NIR,780 nm) regions. The objective of this study was to determine how much improvement the Crop Circle ACS430 would achieve for estimating rice yield potential at key growth stages as compared with a GreenSeeker sensor. Four N rate experiments were conducted in 2012 and 2013 at Jiansanjiang Experiment Station of China Agricultural University, located in Sanjiang Plain, Heilongjiang Province, Northeast China. The results indicated that in-season estimate of yield (INSEY) calculated with GreenSeeker normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) could only explain 18% and 13% of variability in yield potential without additional topdressing N application (YP0) at panicle initiation stage and there was no significant relationship at heading stage. By comparison, the INSEY calculated with the best Crop Circle vegetation indices explained 35% and 58% of YP0 variability at these two stages, respectively. At stem elongation stage, the Crop Circle ACS-430 sensor (best R2=0.68) did not have any significant improvement over GreenSeeker RVI (R2=0.65). More studies are needed to further evaluate Crop Circle ACS-430 sensor for precision N management of rice under on-farm conditions.

KW - Crop circle ACS 430 sensor

KW - Greenseeker sensor

KW - Precision nitrogen management

KW - Rice

KW - Yield potential

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Y2 - 12 July 2015 through 16 July 2015

ER -

Improving estimation of rice yield potential using active canopy sensor Crop Circle ACS 430 in Northeast China

Abstract

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UN SDGs

Keywords

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