Statistical Modelling for Pre-Harvest Forecast:An Illustration with Rose

Crop yield forecast plays a vital role in arriving at pre-harvest yield estimate of a standing crop and to identify the stage at which reliable forecasting could be made before final harvest. In this paper, an attempt has been made to apply the regression technique for prediction of yield in rose. R...

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Autores principales:	K S Shamasundaran, R Yenugopalan
Formato:	article
Lenguaje:	EN
Publicado:	Society for Promotion of Horticulture - Indian Institute of Horticultural Research 2006
Materias:	goodness of fit statistics statistical modelling yield forecast Plant culture SB1-1110
Acceso en línea:	https://doaj.org/article/c910de51d84c41a39e2789e48b78c954
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id	oai:doaj.org-article:c910de51d84c41a39e2789e48b78c954
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spelling	oai:doaj.org-article:c910de51d84c41a39e2789e48b78c9542021-12-02T12:39:44ZStatistical Modelling for Pre-Harvest Forecast:An Illustration with Rose0973-354X2582-4899https://doaj.org/article/c910de51d84c41a39e2789e48b78c9542006-06-01T00:00:00Zhttps://jhs.iihr.res.in/index.php/jhs/article/view/680https://doaj.org/toc/0973-354Xhttps://doaj.org/toc/2582-4899Crop yield forecast plays a vital role in arriving at pre-harvest yield estimate of a standing crop and to identify the stage at which reliable forecasting could be made before final harvest. In this paper, an attempt has been made to apply the regression technique for prediction of yield in rose. Rose, is an important flower crop not only for internal market but is also intended for export, and since it shrivels, estimation of yield of a standing crop before its actual harvest is essential. Based on results a model was developed, which showed that information from the first two pickings of a standing crop could be used to forecast rose yield to an extent of 77% two months before final harvest. It is also suggested to have a minimum sample size of 20 % to develop such a forecast model.K S ShamasundaranR YenugopalanSociety for Promotion of Horticulture - Indian Institute of Horticultural Researcharticlegoodness of fit statisticsstatistical modellingyield forecastPlant cultureSB1-1110ENJournal of Horticultural Sciences, Vol 1, Iss 1, Pp 68-70 (2006)
institution	DOAJ
collection	DOAJ
language	EN
topic	goodness of fit statistics statistical modelling yield forecast Plant culture SB1-1110
spellingShingle	goodness of fit statistics statistical modelling yield forecast Plant culture SB1-1110 K S Shamasundaran R Yenugopalan Statistical Modelling for Pre-Harvest Forecast:An Illustration with Rose
description	Crop yield forecast plays a vital role in arriving at pre-harvest yield estimate of a standing crop and to identify the stage at which reliable forecasting could be made before final harvest. In this paper, an attempt has been made to apply the regression technique for prediction of yield in rose. Rose, is an important flower crop not only for internal market but is also intended for export, and since it shrivels, estimation of yield of a standing crop before its actual harvest is essential. Based on results a model was developed, which showed that information from the first two pickings of a standing crop could be used to forecast rose yield to an extent of 77% two months before final harvest. It is also suggested to have a minimum sample size of 20 % to develop such a forecast model.
format	article
author	K S Shamasundaran R Yenugopalan
author_facet	K S Shamasundaran R Yenugopalan
author_sort	K S Shamasundaran
title	Statistical Modelling for Pre-Harvest Forecast:An Illustration with Rose
title_short	Statistical Modelling for Pre-Harvest Forecast:An Illustration with Rose
title_full	Statistical Modelling for Pre-Harvest Forecast:An Illustration with Rose
title_fullStr	Statistical Modelling for Pre-Harvest Forecast:An Illustration with Rose
title_full_unstemmed	Statistical Modelling for Pre-Harvest Forecast:An Illustration with Rose
title_sort	statistical modelling for pre-harvest forecast:an illustration with rose
publisher	Society for Promotion of Horticulture - Indian Institute of Horticultural Research
publishDate	2006
url	https://doaj.org/article/c910de51d84c41a39e2789e48b78c954
work_keys_str_mv	AT ksshamasundaran statisticalmodellingforpreharvestforecastanillustrationwithrose AT ryenugopalan statisticalmodellingforpreharvestforecastanillustrationwithrose
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Statistical Modelling for Pre-Harvest Forecast:An Illustration with Rose

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