Journal of the Japanese Society of Agricultural Technology Management
Online ISSN : 2424-2403
Print ISSN : 1341-0156
Simple Prediction of Daily Yield of Green Asparagus Using Open Weather Survey Data
Fumio KISHIDAToshio SAKAKIBARATakashi KUROSAWAKoji NISHIKAWAKoji KUSUMITakashi FUDANOKeiko KATAOKAAkira KITAJIMA
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2013 Volume 20 Issue 3 Pages 79-84

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Abstract

Simple prediction of daily yield of green asparagus was attempted using weather survey data of the Meteorological Agency currently exhibited on web for free. The thermal data and precipitation data of the meteorological station 6km away from the cultivation place were used in a multiple regression analysis to derive a regression equation of the simple prediction of daily yield. It was indicated that the multiple regression function whose the average temperature of the harvest day and its previous day and, average temperature of nine days and ten days before the harvest day were explanatory variable is applicable to simple prediction of daily yield. From these results, the environmental factors that decide daily yield are discussed.

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© 2013 Japanese Society of Agricultural Technology Management
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