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UID:20260203T204945EST-72013IueUu@132.216.98.100
DTSTAMP:20260204T014945Z
DESCRIPTION:PhD Oral Defence of Samuel Ihuoma\, Bioresource Engineering\n\n
 Early identification and prediction of plant abiotic stress is essential t
 o ensure sustainable agricultural management. Traditional methods of estim
 ating plant stress are destructive\, labour intensive\, and time-consuming
 . These methods often do not represent the heterogeneity of soil and crop 
 parameters at large spatial scales. Spectral reflectance data provide near
  real-time and non-destructive estimates of plant stress\, and account for
  spatial and temporal variability of crops and soil. This thesis focused o
 n the use of spectral reflectance data to estimate plant water and nitroge
 n stresses to minimize crop physiological damage and improve yield of high
 -value vegetable crops. The results identified the Photochemical Reflectan
 ce Indices (PRI) centered at 553 nm (PRI553) for detecting water stress in
  bell pepper\, while the PRI centered at 550 nm (PRI550) detected water st
 ress in tomato crops. The Renormalized Difference Vegetation Index (RDVI) 
 and Transformed Chlorophyll Absorption in Reflectance Index (TCARI) were s
 uitable for assessing nitrogen stress in tomato crops. Also\, spectral ref
 lectance indices acquired from Sentinel-2 satellite mission were suitable 
 for estimating crop evapotranspiration and irrigation water requirements. 
 This thesis concludes that leaf spectral data are advantageous over conven
 tional methods of crop stress assessment for improving irrigation water ma
 nagement.\n\nEveryone in the Â鶹´«Ã½ÍøÕ¾ community is welcome to attend a PhD O
 ral Defence. Please join us in celebrating the accomplishments of our PhD 
 candidates.\n
DTSTART:20200227T141500Z
DTEND:20200227T141500Z
LOCATION:MS2-022\, Macdonald-Stewart Building\, CA\, QC\, St Anne de Bellev
 ue\, H9X 3V9\, 21111 Lakeshore Road
SUMMARY:PhD Oral Defence: The use of spectral reflectance data to assess pl
 ant stress and improve irrigation water management
URL:/macdonald/channels/event/phd-oral-defence-use-spe
 ctral-reflectance-data-assess-plant-stress-and-improve-irrigation-water-31
 0923
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