[논문]멀티스펙트랄 이미지 센서를 이용한 전자 지도 기반 변량 질소 살포

노현권

doi:10.5307/jbe.2010.35.2.132

멀티스펙트랄 이미지 센서를 이용한 전자 지도 기반 변량 질소 살포
Map-based Variable Rate Application of Nitrogen Using a Multi-Spectral Image Sensor 원문보기

바이오시스템공학 = Journal of biosystems engineering, v.35 no.2, 2010년, pp.132 - 137

노현권 (Dept. of Biosystems Engineering, Chungbuk National University)

Abstract ▼ AI-Helper

Site-specific N application for corn is one of the precision crop management. To implement the site-specific N application, various nitrogen stress sensing methods, including aerial image, tissue analysis, soil sampling analysis, and SPAD meter readings, have been used. Use of side-dressing, an efficient nitrogen application method than a uniform application in either late fall or early spring, relies mainly on the capability of nitrogen deficiency detection. This paper presents map-based variable rate nitrogen application based using a multi-spectral corn nitrogen deficiency(CND) sensor. This sensor assess the nitrogen stress by means of the estimated SPAD reading calculated from the corn leave reflectance. The estimated SPAD value from the CND sensor system and location information form DGPS of each field block was combined into the field map using a ArcView program. Then this map was converted into a raster file for a map-based variable rate application software. The relative SPAD (RSPAD = SPAD over reference SPAD) was investigated 2 weeks after the treatments. The results showed that the map-based variable rate application system was feasible.

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문제 정의

This paper reports development of a map-based variable rate application system using a multi-spectral image sensor. The following sections describe system design, sensor calibration, signal processing methods, and system validation test results in the field.

제안 방법

This sensor assess the nitrogen stress by means of the estimated SPAD reading of the corn based on the corn leave reflectance sensed using three channels (green, red, and near-infrared) of a multi-spectral camera. The method included a map creation from data sets such as calculated SPAD, GPS location coordinates, and nozzle control commands.

대상 데이터

The data used in the map were collected on July 14, 2003 by using the CNDS system on the sprayer. At that time the corn was VT stage (tasseling).
The conversion into a point shape file was done in the ArcView program. The projections used in this data point conversion were UTM 1983 and Zone 16 (Illinois). Then based on the point shape file, the polygons were made as a field block in meter dimension.

성능/효과

The relative SPADs (RSPAD = SPAD over reference SPAD) 2 weeks after the VRA treatment was 1.03, and 0.91 for the treatment 2 and treatment 3, respectively, from this result we could conclude that the map-based variable rate application system was effective in managing corn because the RSPAD value was almost 1. The treatment 2, conventional half N application plus map-based VRA showed the best result in terms of measured SPAD value.

후속연구

The treatment 2, conventional half N application plus map-based VRA showed the best result in terms of measured SPAD value. However further studies are needed for determining optimum number of map-based N applications, but because frequent map-based VRAs during the growing season could cause stress and damage to corn. Even though map-based VRA would be better than conventional methods in environment.

참고문헌 (7)

Gitelson, A. A., Y. J. Kaufman and M. N. Merzlyak. 1997. Remote sensing of pigment content in higher plants: principles and techniques. In Proceedings 3rd International Airborne Remote Sensing Conference and Exhibition. pp. 657-664. Copenhagen, Denmark.
Noh, H., Q. Zhang, B. Shin, S. Han and D. Reum. 2005. Dynamic calibration and image segmentation methods for multi -spectral imaging crop nitrogen deficiency sensors. Transactions of the ASAE 48(1):393-401.

상세보기
Piekielek, W. L. and R. H. Fox. 1992. Use of chlorophyll meter to predict sidedress nitrogen requirements for maize. Agronomy Journal 84(1):59-65.

상세보기
Schepers, J. S., M. G. Moravek, E. E. Alberts and K. D. Frank. 1991. Maize production impacts on groundwater quality. Journal of Environmental Quality 20(1):12-16.

상세보기
Thorp, K. R., L. T., Haibo Yao and Lie Tang. 2002. Development of vegetation indices for hyperspectral data. ASAE Paper No. 02-1077. ASAE, St. Joseph, MI. USA.
Van Es, H. M. and N. M. Trautmann. 1990. Pesticide management for water quality: principles and practices. Available at: http://pmep.cce.cornell.edu/facts-slide s-self/facts/pestmgt-waterqual- 90.html.
Waskom, R. M., D. G. Westfall, D. E. Spellman and P. N. Soltanpour, 1996. Monitoring nitrogen status of corn with a portable chlorophyll meter. Communications in Soil Science and Plant Analysis 27(3&4):545-560.

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멀티스펙트랄 이미지 센서를 이용한 전자 지도 기반 변량 질소 살포
Map-based Variable Rate Application of Nitrogen Using a Multi-Spectral Image Sensor 원문보기

Abstract ▼ AI-Helper

주제어

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문제 정의

제안 방법

대상 데이터

성능/효과

후속연구

참고문헌 (7)

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멀티스펙트랄 이미지 센서를 이용한 전자 지도 기반 변량 질소 살포 Map-based Variable Rate Application of Nitrogen Using a Multi-Spectral Image Sensor 원문보기

Abstract ▼ AI-Helper

주제어

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문제 정의

제안 방법

대상 데이터

성능/효과

후속연구

참고문헌 (7)

이 논문을 인용한 문헌

저자의 다른 논문 :

노현권 (7)

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멀티스펙트랄 이미지 센서를 이용한 전자 지도 기반 변량 질소 살포
Map-based Variable Rate Application of Nitrogen Using a Multi-Spectral Image Sensor 원문보기

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