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....

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Main Authors: K S Shamasundaran, R Yenugopalan
Format: Article
Language:English
Published: Society for Promotion of Horticulture - Indian Institute of Horticultural Research 2006-06-01
Series:Journal of Horticultural Sciences
Subjects:
Online Access:https://jhs.iihr.res.in/index.php/jhs/article/view/680
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author K S Shamasundaran
R Yenugopalan
author_facet K S Shamasundaran
R Yenugopalan
author_sort K S Shamasundaran
collection DOAJ
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.
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spelling doaj.art-c910de51d84c41a39e2789e48b78c9542023-08-20T14:05:20ZengSociety for Promotion of Horticulture - Indian Institute of Horticultural ResearchJournal of Horticultural Sciences0973-354X2582-48992006-06-011110.24154/jhs.v1i1.680670Statistical Modelling for Pre-Harvest Forecast:An Illustration with RoseK S ShamasundaranR Yenugopalan 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. https://jhs.iihr.res.in/index.php/jhs/article/view/680Goodness of Fit StatisticsStatistical ModellingYield Forecast
spellingShingle K S Shamasundaran
R Yenugopalan
Statistical Modelling for Pre-Harvest Forecast:An Illustration with Rose
Journal of Horticultural Sciences
Goodness of Fit Statistics
Statistical Modelling
Yield Forecast
title 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_short Statistical Modelling for Pre-Harvest Forecast:An Illustration with Rose
title_sort statistical modelling for pre harvest forecast an illustration with rose
topic Goodness of Fit Statistics
Statistical Modelling
Yield Forecast
url https://jhs.iihr.res.in/index.php/jhs/article/view/680
work_keys_str_mv AT ksshamasundaran statisticalmodellingforpreharvestforecastanillustrationwithrose
AT ryenugopalan statisticalmodellingforpreharvestforecastanillustrationwithrose