Predicting Vegetable Yields using Weather Forecast Accuracy: The Case of Garlic and Onion Yields

Jeong Hun Ji; Hyun Ju Park; Sang Hyeon Lee

doi:10.22698/jales.20230014

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2023 Vol.35, Issue 2 Preview Page

Research Article

Predicting Vegetable Yields using Weather Forecast Accuracy: The Case of Garlic and Onion Yields

30 June 2023. pp. 180-189

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Abstract

This study analyzed whether weather forecast accuracy indices such as precipitation accuracy and hit rate, which are potentially related to agriculture production, can be used as more effective proxies for technological progress. The results have shown that the forecasting accuracy of precipitation, in the form of the product of total rain and accuracy rate, could be used to predict the yield of seasoning vegetables by replacing the time trend variable. Using the accuracy variables as a proxy for technological development factors should be considered when forecasting onion and garlic yields. It may potentially be substituted for the time trend variable to gain greater predicting power.

Keywords

Garlic yield

Onion yield

Precipitation hit rate

Weather forecast accuracy

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Information

Publisher :Agriculture and Life Sciences Research Institute, Kangwon National University
Publisher(Ko) :강원대학교 농업생명과학대학 농업생명과학연구원
Journal Title :Journal of Agricultural, Life and Environmental Sciences
Journal Title(Ko) :농업생명환경연구
Volume : 35
No :2
Pages :180-189
Received Date : 2023-05-17
Revised Date : 2023-06-09
Accepted Date : 2023-06-12
DOI :https://doi.org/10.22698/jales.20230014

Journal of Agricultural, Life and Environmental Sciences ISSN:2233-8322(Print) 2508-870X(Online) 농업생명환경연구

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