TY - CHAP
T1 - Analysis of N and K Elements in Root-Removed Rice Samples Using Laser-Induced Breakdown Spectroscopy
T2 - Evaluating Different Modes of Tillage and Fertilization
AU - Hu, Jiandong
AU - Jiang, Min
AU - Sun, Haifeng
AU - Ahmed, Shakeel
AU - Zhang, Hong
AU - Zhang, Hao
AU - Hernandez, Jorge
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - A study was conducted to evaluate the concentrations of nitrogen (N) and potassium (K) in different tillage and fertilization modes using laser-induced breakdown spectroscopy (LIBS). The study focused on analyzing nutritional elements in rice leaves, ears, and stems. Due to the inorganic and organic compounds in rice leaves, ears and stems, the non-interfering characteristic line spectra with the low matrix effect were chosen to quickly and accurately analyze nutritional elements of N (670.8759, 742.3641, 744.2298, 746.8312, 848.4861, 856.7735, 862.9235, 868.0282 nm) and K (766.4911, 769.8974 nm). A total of fifteen groups of rice samples were collected and analyzed using mean and range normalization to reduce noise. Principal component analysis (PCA) was used to extract eigenvalues and reduce data sets. K-means cluster and Fisher linear discriminant methods were used to classify rice samples with different tillage and fertilization modes. The results showed that rice leaves were clearly distinguished with an 81.96% confidence interval. The study demonstrates the potential use of LIBS as a tool for analyzing the effect of nutritional elements in rice and evaluating tillage and fertilization modes.
AB - A study was conducted to evaluate the concentrations of nitrogen (N) and potassium (K) in different tillage and fertilization modes using laser-induced breakdown spectroscopy (LIBS). The study focused on analyzing nutritional elements in rice leaves, ears, and stems. Due to the inorganic and organic compounds in rice leaves, ears and stems, the non-interfering characteristic line spectra with the low matrix effect were chosen to quickly and accurately analyze nutritional elements of N (670.8759, 742.3641, 744.2298, 746.8312, 848.4861, 856.7735, 862.9235, 868.0282 nm) and K (766.4911, 769.8974 nm). A total of fifteen groups of rice samples were collected and analyzed using mean and range normalization to reduce noise. Principal component analysis (PCA) was used to extract eigenvalues and reduce data sets. K-means cluster and Fisher linear discriminant methods were used to classify rice samples with different tillage and fertilization modes. The results showed that rice leaves were clearly distinguished with an 81.96% confidence interval. The study demonstrates the potential use of LIBS as a tool for analyzing the effect of nutritional elements in rice and evaluating tillage and fertilization modes.
KW - (LIBS)
KW - Fisher linear discriminant
KW - K-means
KW - Principal component analysis (PCA)
KW - Root-removed rice samples
UR - https://www.scopus.com/pages/publications/86000126650
U2 - 10.1007/978-3-031-70745-2_13
DO - 10.1007/978-3-031-70745-2_13
M3 - Chapter
AN - SCOPUS:86000126650
T3 - Studies in Systems, Decision and Control
SP - 189
EP - 203
BT - Studies in Systems, Decision and Control
PB - Springer Science and Business Media Deutschland GmbH
ER -