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2024 Vol.69, Issue 4 Preview Page
Estimation of Wheat Protein Content and Yield under Different Nitrogen Fertilization through UAV-based Vegetation Index

UAV기반 식생지수 활용을 통한 질소비료처리에 따른 밀 단백질 함량 및 수확량 추정

Hyun-Jin Jung1
,
Dasom Jeon1
,
Kyung-Do Lee2*
,
Jae-Hyun Ryu3
,
Ho-Yong Ahn3
,
Young-ah Jeon2
,
Sook-gyeong Kim4
,
Han-Yong Jeong5
정 현진1
,
전 다솜1
,
이 경도2*
,
류 재현3
,
안 호용3
,
전 영아2
,
김 숙경4
,
정 한용5
1Postdoctoral Researcher, National Agricultural Satellite Center, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 54875, Republic of Korea
2Senior Researcher, National Agricultural Satellite Center, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 54875, Republic of Korea
3Researcher, National Agricultural Satellite Center, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 54875, Republic of Korea
4Research Assistant, National Agricultural Satellite Center, National Institute of Agricultural Sciences, Rural Development Administration, Wanju 54875, Republic of Korea
5Researcher, Wheat Research Team, National Institute of Crop Science, Rural Development Administration, Wanju 55365, Republic of Korea
1농촌진흥청 국립농업과학원, 농업위성센터 전문연구원
2농촌진흥청 국립농업과학원, 농업위성센터 농업연구관
3농촌진흥청 국립농업과학원, 농업위성센터 농업연구사
4농촌진흥청 국립농업과학원, 농업위성센터 연구원
5농촌진흥청 국립식량과학원, 밀연구팀 농업연구사
*Corresponding Author
1 December 2024. pp. 264-272
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Abstract

Remote Sensing utilizes unmanned aerial vehicles (UAVs), such as drones, to observe and evaluate the condition and growth environment of crops through close monitoring during low-altitude flights in agriculture. This study was conducted to estimate the wheat yield and protein content of hard wheat varieties in Korea by analyzing the correlation between the yield and protein content of each treatment plot and the following UAV image-based vegetation indices : Normalized Difference Vegetation Index, Green Normalized Difference Vegetation Index, Ratio Vegetation Index, Green Ratio Vegetation Index, and Normalized Difference Red Edge (NDRE). Among UAV image-based vegetation indices, the NDRE at the ripening stage showed a correlation coefficient of 0.71–0.86 with the protein content, although there was no relationship between wheat yield and vegetation indices. Based on these results, a distribution map of the wheat protein content was generated. Using UAV-based vegetation indices to estimate protein content and produce spatial distribution information can improve wheat quality and assist in decision-making in agricultural fields.

Keywords
nitrogen
remote sensing
UAV
vegetation index
wheat
References
1

Abdullatif, M., U. M. Asmat, A. Sattar, F. Hussain, G. Abbas, and J. Huss. 2010. Response of growth and yield of wheat to NPK fertilizer. Sci. Int. (Lahore) 24(2) : 185-189.

2

Gitelson, A. A., Y. J. Kaufman, and M. N. Merzlyak. 1996. Use of a green channel in remote sensing of global vegetation from EOS-MODIS. Remote Sens. Environ. 58(3) : 289-298.

10.1016/S0034-4257(96)00072-7
3

Jiang, R., A. Sanchez-Azofeifa, K. Laakso, P. Wang, Y. Xu, Z. Zhou, X. Luo, Y. Lan, G. Zhao, and X. Chen. 2021. UAV-based partially sampling system for rapid NDVI mapping in the evaluation of rice nitrogen use efficiency. J. Clean. Prod. 289 : 125705.

10.1016/j.jclepro.2020.125705
4

Jordan, C. F. 1969. Derivation of leaf area index from quality of light on the forest floor. Ecology. 50 : 663-666.

10.2307/1936256
5

Jung, H., R. Tajima, R. Ye, N. Hashimoto, Y. Yang, S. Yamamoto, and K. Homma. 2023. Utilization of UAV remote sensing in plant-based field experiments: A case study of the evaluation of LAI in a small-scale sweetcorn experiment. Agriculture 13(3) : 561.

10.3390/agriculture13030561
6

Korea Rural Economic Institute (KREI). 2023. Prospect of Chinese agriculture (2023~2032).

7

Kim, K. H., C. S. Kang, I. D. Choi, H. S. Kim, J. N. Hyun, and C. S. Park. 2016. Analysis of grain characteristics in Korean wheat and screening wheat for quality using near infrared reflectance spectroscopy. Korean J. Breed Sci. 48(4) : 442-449.

10.9787/KJBS.2016.48.4.442
8

Kim, K. M., K. H. Kim, H. S. Kim, D. J. Shin, Y. J. Kim, M. G. Oh, and J. N. Hyun. 2018. Effect of nitrogen fertilize application levels on yield and quality of Korean wheat cultivars. Korean J. Agricultural Sci. 45 : 9-18.

10.7744/kjoas.20180081
9

Kim, M. H., J. C. Shin, and B. W. Lee. 2005. Applicability of vegetation index and SPAD reading to nondestructive diagnosis of rice growth and nitrogen nutrition status. Korean J. Crop Sci. 50(6) : 369-377.

10

Kim, Y. J., H. S. Kim, C. S. Kang, K. H. Kim, J. N. Hyun, K. J. Kim, and K. H. Park. 2013. Effect of additional nitrogen fertilizer application on decreasing of pre-harvest sprouting in winter wheat. Korean J. Crop Sci. 58 : 169-176.

10.7740/kjcs.2013.58.2.169
11

Lee, C. K., M. Umeda, I. G. Jung, J. H Sung, S. C. Kim, W. P. Park, and Y. B. Lee. 2004. Spatial variability analysis of paddy rice yield in field. J. Biosyst. Eng. 29(3) : 267-274.

10.5307/JBE.2004.29.3.267
12

Lee, C. K., J. H. Nam, M. S. Kang, B. C. Ku, J. C. Kim, K. G. Park, M. W. Park, and Y. H. Kim. 2002. Current wheat quality criteria and inspection systems of major wheat producing countries. Korean J. Crop Sci. 47 : 63-94.

13

Lee, K. B., D. K. Jun, and J. C. Chae. 2003. Effect of nitrogen fertilization on quality characteristics of rice grain and aromaactive compounds of cooked rice. Korea. Korean J. Crop Sci. 48(6) : 527-533.

14

Lee, K. D., H. Y. An, S. Y. Hong, C. W. Park, K. H. So, S. I. Shim, G. E. Song, and S. I. Na. 2020. Estimation of winter wheat nitrogen content, biomass and yield using UAV images in South Korea. Korean J. Soil Sci. Fert. 53(4) : 589-599.

10.7745/KJSSF.2020.53.4.589
15

Lopez-Bellido L, R. J. Lopez-Bellido, and F. J. Lopez-Bellido. 2006. Fertilizer nitrogen efficiency in durum wheat under rainfed mediterranean conditions: effect of split application. Agron. J. 98 : 55-62.

10.2134/agronj2005.0017
16

Ministry of Agriculture, Food and Rural Affairs (MAFRA). 2023. Agriculture, food and rural affairs statistics yearbook.

17

Matese, A., P. Toscano, S. F. Di Gennaro, L. Genesio, F. P. Vaccari, J. Primicerio, C. Belli, A. Zaldei, R. Bianconi, and B. Gioli. 2015. Intercomparison of UAV, aircraft and satellite remote sensing platforms for precision viticulture. Remote Sens. 7(3) : 2971-2990.

10.3390/rs70302971
18

Mengel, K. and E. A. Kirkby. 1978. Principals of Plant Nutrition, 4th ed.; International Potash Institute: Bern, Switzerland. p. 687.

19

Na, S. I., C. W. Park, Y. K. Cheong, C. S. Kang, I. B. Choi, and K. D. Lee. 2016. Selection of optimal vegetation indices for estimation of barley & wheat growth based on remote sensing. Korean J. Remote Sens. 32(5) : 483-497.

10.7780/kjrs.2016.32.5.7
20

Nordh, N. E. and T. Verwijst. 2004. Above-ground biomass assessments and first cutting cycle production in willow (Salix sp.) coppice - a comparison between destructive and non- destructive methods. Biomass Bioenergy 27(1) : 1-8.

10.1016/j.biombioe.2003.10.007
21

Seo, J. H., C. K. Lee, Y. S. Cho, C. K. Lee, and C. K. Kim. 2010. Change of growth and nitrogen uptake of rice at the paddy field with previous upland condition. Korean J. Crop Sci. 55(2) : 98-104.

22

Sripada, R. P., R. W. Heiniger, J. G. White, and A. D. Meijer. 2006. Aerial color infrared photography for determining early in-season nitrogen requirements in corn. Agron. J. 98 : 968-977.

10.2134/agronj2005.0200
23

Thomas, J. R. and H. W. Gausman. 1977. Leaf reflectance vs. leaf chlorophyll and carotenoid concentrations for eight crops 1. Agron. J. 69(5) : 799-802.

10.2134/agronj1977.00021962006900050017x
24

Toscano, P., A. Castrignanò, S. F. Di Gennaro, A. V. Vonella, D. Ventrella, and A. Matese. 2019. A precision agriculture approach for durum wheat yield assessment using remote sensing data and yield mapping. Agronomy 9 : 437.

10.3390/agronomy9080437
25

Tucker, C. J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 8 : 127-150.

10.1016/0034-4257(79)90013-0
26

Walsh, O. S., S. Shafian, J. M. Marshall, C. Jackson, J. R. McClintick-Chess, S. M. Blanscet, K. Swoboda, C. Thompson, K. M. Belmont, and W. L. Walsh. 2018. Assessment of UAB based vegetation indices for nitrogen concentration estimation in spring wheat. Advances in Remote Sensing. 7 : 71-90.

10.4236/ars.2018.72006
27

Zhang, J., W. Wang, B. Krienke, Q. Cao, Y. Zhu, W. Cao, and X. Liu. 2022. In-season variable rate nitrogen recommendation for wheat precision production supported by fixed-wing uav imagery. Precis. Agric. 23 : 830-853.

10.1007/s11119-021-09863-2
Information
  • Publisher :The Korean Society of Crop Science
  • Publisher(Ko) :한국작물학회
  • Journal Title :The Korean Journal of Crop Science
  • Journal Title(Ko) :한국작물학회지
  • Volume : 69
  • No :4
  • Pages :264-272
  • Received Date : 2024-10-21
  • Revised Date : 2024-10-24
  • Accepted Date : 2024-10-24
  • DOI :https://doi.org/10.7740/kjcs.2024.69.4.264
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