03758nas a22003855u 450000500170000000800410001703500150005809900270007310000200010024501400012026000670026030000430032749000270037050001470039750200590054452019920060365000130259565000390260865000260264765000220267370000410269570000430273670000450277971000600282481000590288485600650294390700250300890200110303399800280304494500100307294200070308290901580308999900150324795201100326220260817163609.0190208s20249999th a  ms tm   000   eng d  a.b12293611 9aAIT Thesis no.AE-24-021 aSuthima Homhual10aAssessment of leaf chlorophyll content in pangola grass (Digitaria eriantha) using UAV-derived vegetation indices and chlorophyll meter  aPathum Thani, Thailand :bAsian Institute of Technology,c2024  a112 leaves :bill. +e1online resource1 aThesis ;vno. AE-24-02  aA Thesis submitted in partial fulfillment of the requirements for the degree of  Master of Engineering in Agricultural Systems and Engineering  aThesis (M. Eng.) - Asian Institute of Technology, 2024  aOptimizing nitrogen (N) application in agricultural systems is crucial for enhancing  crop productivity and sustainability. This study delves into the impact of varying  nitrogen levels on plant health, specifically focusing on chlorophyll content and  vegetation higher nitrogen levels (60 kg/ha, 120 kg/ha, and 180 kg/ha) are associated  with increased plant height, larger leaf area, and higher yields in terms of fresh and dry  weight, indicating the positive effects of nitrogen on plant development indices as  indicators of plant vigor and nitrogen status. Through a comprehensive analysis  integrating field experiments and remote sensing techniques, we explore the intricate  relationships between nitrogen application, SPAD values, vegetation indices (NDVI,  NDRE, GNDVI) from UAVs and Plant-O-Meter, and total chlorophyll content. Higher  nitrogen levels consistently correlate with increased plant height, leaf area, and yields,  reflecting improved photosynthetic activity and overall plant health. Notably, SPAD  values and total chlorophyll content exhibit a strong positive correlation, with higher  SPAD values indicating greater chlorophyll concentration and enhanced photosynthetic  efficiency. Regression analyses reveal a precise relationship high coefficient of  determination (R² = 0.94), with every unit increase in SPAD values associated with a  significant rise in total chlorophyll content. Furthermore, the analysis of vegetation  indices (NDVI, NDRE, GNDVI) from UAVs and Plant-O-Meter shows consistent  positive correlations with total chlorophyll content, indicating the utility of remote  sensing data in assessing plant health and vigor. NDVI and GNDVI exhibit relatively  stronger associations compared to NDRE, explaining significant portions (51% to 74%)  of chlorophyll content variability, suggesting NDVI's and GNDVI's potential as a  powerful remote sensing tool for monitoring nitrogen-induced changes and evaluating  vegetation vigor remotely.  0aNitrogen 0aVegetation mappingxRemote sensing 0aChlorophyllxAnalysis 0aGrassesxAnalysis1 aHimanshu, Sushil Kumar,eChairperson1 aDatta, Avishek,eExamination Committee1 aZulfiqar, Farhad,eExamination Committee2 aHer Majesty the Queen's Scholarship,eScholarship Donor2 aAsian Institute of Technology.tThesis ;vno. AE-24-02403Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B21440  a.b12293611bmnaitca  a241021  b0c241011dmeh  fag0  lmnarc  c71  aBarcode : -bCREATED : 2024-10-16cRECORD # : i13516899dLPATRON : 0eLCHKIN : -f# RENEWALS : 0g# OVERDUE : 0hIUSE3 : 0iTOT CHKOUT : 0jTOT RENEW : 0  c9204d9204  00104070aMAINbMAINcmnarcd2026-08-17l0oAIT Thesis no.AE-24-02r2026-08-17 16:36:09w2026-08-17y71