디지털 카메라 칼라영상 분석을 이용한 벼 질소 수비량 추천 원시 프로그램의 개발과 예비 적용성 검토

• Published in: Korean journal of crop science Vol. 55; no. 4; pp. 312 - 318
• Main Authors: 지정현, Jeong-hyun Chi, 이재홍, Jae-hong Lee, 최병열, Byoung-rourl Choi, 한상욱, Sang-wook Han, 김순재, Soon-jae Kim, 박경열, Kyeong-yeol Park, 이규종, Kyu-jong Lee, 이변우, Byun-woo Lee
• Format: Journal Article
• Language: Korean
• Published: 한국작물학회 31.12.2010
• Subjects: digital camera image; rice; rice quality; topdressing rate; yield; 농학; topdressing rate; rice; digital camera image; rice quality; yield
• ISSN: 0252-9777; 2287-8432

This study was carried out to develop and test a prototype program that recommends the nitrogen topdressing rate using the color digital camera image taken from rice field at panicle initiation stage (PIS). This program comprises four models to estimate shoot N content (PNup) by color digital image analysis, shoot N accumulation from PIS to maturity (PHNup), yield, and protein content of rice. The models were formulated using data set from N rate experiments in 2008. PNup was found to be estimated by non-linear regression model using canopy cover and normalized green values calculated from color digital image analysis as predictor variables. PHNup could be predicted by quadratic regression model from PNup and N fertilization rate at panicle initiation stage with R2 of 0.923. Yield and protein content of rice could also be predicted by quadratic regression models using PNup and PHNup as predictor variables with R 2 of 0.859 and 0.804, respectively. The performance of the program integrating the above models to recommend N topdressing rate at PIS was field-tested in 2009. N topdressing rate prescribed for the target protein content of 6.0% by the program were lower by about 30% compared to the fixed rate of 30% that is recommended conventionally as the split application rate of N fertilizer at PIS, while rice yield in the plots top-dressed with the prescribed N rate were not different from those of the plots top-dressed with the fixed N rates of 30% and showed a little lower or similar protein content of rice as well. And coefficients of variation in rice yield and quality parameters were reduced substantially by the prescribed N topdressing. These results indicate that the N rate recommendation using the analysis of color digital camera image is promising to be applied for precise management of N fertilization. However, for the universal and practical application the component models of the program are needed to be improved so as to be applicable to the diverse edaphic and climatic condition.