The ARYA crop yield forecasting algorithm: Application to the main wheat exporting countries Article Swipe

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B. Franch , Eric F. Vermote , Sergii Skakun , A. Santamaría-Artigas , Natacha Kalecinski , Jean‐Claude Roger , Inbal Becker‐Reshef , B. Barker , Chris Justice , José A. Sobrino ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1016/j.jag.2021.102552

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Commodity Money

Agriculture

Crop

Production (Economics)

Geography

Agricultural Engineering

Environmental Science

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Yield gap Yield (engineering) Commodity Agriculture Crop Crop yield Agricultural economics Production (economics) Index (typography) Agricultural productivity Geography Agricultural engineering Environmental science Business Economics Computer science Agronomy Engineering Forestry Metallurgy World Wide Web Materials science Biology Macroeconomics Archaeology Finance

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.jag.2021.102552
OA Status: gold
Cited By: 20
References: 62
Related Works: 10
OpenAlex ID: https://openalex.org/W3202075901

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DOI: https://doi.org/10.1016/j.jag.2021.102552

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Title: The ARYA crop yield forecasting algorithm: Application to the main wheat exporting countries

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Type: article

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Language: en

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Publication year: 2021

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Publication date: 2021-09-27

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Authors: B. Franch, Eric F. Vermote, Sergii Skakun, A. Santamaría-Artigas, Natacha Kalecinski, Jean‐Claude Roger, Inbal Becker‐Reshef, B. Barker, Chris Justice, José A. Sobrino

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Landing page: https://doi.org/10.1016/j.jag.2021.102552

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OA status: gold

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Concepts: Yield gap, Yield (engineering), Commodity, Agriculture, Crop, Crop yield, Agricultural economics, Production (economics), Index (typography), Agricultural productivity, Geography, Agricultural engineering, Environmental science, Business, Economics, Computer science, Agronomy, Engineering, Forestry, Metallurgy, World Wide Web, Materials science, Biology, Macroeconomics, Archaeology, Finance

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Cited by: 20

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