Forecasting corn yield at the farm level in Brazil based on the FAO-66 approach and soil-adjusted vegetation index (SAVI)

Agricultural Water Management

Volumn 225, Issue , 2019, Pages

  Venancio, Luan Peroni ^a   Mantovani, Everardo Chartuni ^a   do Amaral, Cibele Hummel ^a   Usher Neale, Christopher Michael ^b   Gonçalves, Ivo Zution ^b   Filgueiras, Roberto ^a   Campos, Isidro ^c  

^a FEDERAL UNIVERSITY OF VIÇOSA   (Brazil)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^c UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

Author keywords

Basal crop coefficient; Biomass; Corn productivity; Remote sensing data; Vegetation indices

Indexed keywords

BIOMASS; CROPS; CULTIVATION; DECISION MAKING; PRODUCTIVITY; REMOTE SENSING; VEGETATION;

BASAL CROP COEFFICIENTS; CROP YIELD FORECASTING; ECONOMIC RETURNS; IRRIGATED FIELDS; REMOTE SENSING DATA; SURFACE REFLECTANCE; VEGETATION INDEX; WATER PRODUCTIVITY;

FORECASTING;

BIOMASS; CROP YIELD; DECISION MAKING; FORECASTING METHOD; GROWING SEASON; HARVESTING; LANDSAT; MAIZE; PERFORMANCE ASSESSMENT; REMOTE SENSING; SATELLITE DATA; SURFACE REFLECTANCE; VEGETATION INDEX;

BAHIA; BRAZIL;

ZEA MAYS;

EID: 85072172757     PISSN: 03783774     EISSN: 18732283     Source Type: Journal    
DOI: 10.1016/j.agwat.2019.105779     Document Type: Article

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