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Wheat: Its water use, production and disease detection and predictionThe author has identified the following significant results. Discussed in this report are: (1) the effects of wheat disease on water use and yield; and (2) the use of ERTS-1 imagery in the evaluation of wheat growth and in the detection of disease severity. Leaf area index was linearly correlated with ratios MSS4:MSS5 and MSS5:MSS6. In an area of severe wheat streak mosaic virus infected fields, correlations of ERTS-1 digital counts with wheat yields and disease severity levels were significant at the 5% level for MSS bands 4 and 5 and band ratios 4/6 and 4/7. Data collection platforms were used to gather meteorological data for the early prediction of rust severity and economic loss.
Document ID
19740019682
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Kanemasu, E. T.
(Kansas State Univ. Manhattan, KS, United States)
Lenhert, D.
(Kansas State Univ. Manhattan, KS, United States)
Niblett, C.
(Kansas State Univ. Manhattan, KS, United States)
Manges, H.
(Kansas State Univ. Manhattan, KS, United States)
Eversmeyer, M. G.
(Kansas State Univ. Manhattan, KS, United States)
Date Acquired
September 3, 2013
Publication Date
February 5, 1974
Subject Category
Geophysics
Report/Patent Number
E74-10632
REPT-2263-3
NASA-CR-138742
Accession Number
74N27795
Funding Number(s)
CONTRACT_GRANT: NAS5-21822
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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