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ERTS-1 data collection systems used to predict wheat disease severitiesThe feasibility of using the data collection system on Earth Technology Satellite-1 to predict wheat leaf rust severity and resulting yield loss was tested. Ground-based data-collection platforms (DCPs), placed in two commercial wheat fields, transmitted to the satellite such meteorological information as maximum and minimum temperature, relative humidity, and hours of free moisture. Meteorological data received from the two DCPs from April 23 to 29 were used to estimate the disease progress curve. Values from the curve were used to predict the percentage decrease in wheat yields resulting from leaf rust. Actual decrease in yield obtained by applying a zinc and maneb spray to control leaf rust, and then comparing yields of the controlled (healthy) and the noncontrolled (rusted) areas. In each field, a 9% decrease in yield was predicted by the DCP-derived data; actual decreases were 12% and 9%.
Document ID
19740058366
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Kanemasu, E. T.
Schimmelpfennig, H.
Chin Choy, E.
Eversmeyer, M. G.
Lenhert, D.
(Kansas State University of Agriculture and Applied Science, Manhattan, Kan., United States)
Date Acquired
August 7, 2013
Publication Date
January 1, 1974
Publication Information
Publication: Remote Sensing of Environment
Volume: 3
Issue: 2, 19
Subject Category
Geophysics
Accession Number
74A41116
Distribution Limits
Public
Copyright
Other

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