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• W3043153453 abstract "Significance We show how subjective information from qualitative crop rating surveys conducted weekly by the USDA can be transformed into a continuous crop condition index that integrates meteorological, agronomic, physiological, technological, and management factors. This index allows comparison of crop conditions between years and locations and provides superior information that enhances yield forecasting models. The proposed methodology can be used to develop better agricultural drought monitoring and early warning systems that can anticipate production anomalies and inform decision making." @default.
• W3043153453 created "2020-07-23" @default.
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• W3043153453 date "2020-07-16" @default.
• W3043153453 modified "2023-10-03" @default.
• W3043153453 title "Qualitative crop condition survey reveals spatiotemporal production patterns and allows early yield prediction" @default.
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• W3043153453 doi "https://doi.org/10.1073/pnas.1917774117" @default.
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