Classification of Crop Yield Variability in Irrigated Production Fields
By Ling Li, Chunguang Li, Yongxiu Lai, Guoling Shi, Dezhong Yao. 2003
107 citations recorded by the source corpus.
Subfields: Environmental Chemistry, Environmental Engineering, Plant Science
View Paper: https://www.semanticscholar.org/paper/34278f0451e3906c75d9549fccbe2c1479ddb004
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In Environmental Chemistry
In Environmental Engineering
In Plant Science
Citations in the corpus
- Screening Yield Monitor Data Improves Grain Yield Maps (2004, background): “For both crops, the upper values represented maximum yields achieved in yield contests or simulated by crop simulation models for the climatic conditions in eastern Nebraska and other areas of the Corn Belt (Duvick and Cassman, 1999; Specht et al., 1999; Dobermann et al., 2003a).”
- Exploring spatial dependence of cotton yield using global and local autocorrelation statistics (2004, methodology): “Kriged yield monitor data from multiple years could be used as input for yield classification separately (Dobermann et al., 2003).”