eprintid: 10045
rev_number: 9
eprint_status: archive
userid: 1305
dir: disk0/00/01/00/45
datestamp: 2017-06-12 04:27:18
lastmod: 2017-06-12 04:27:18
status_changed: 2017-06-12 04:27:18
type: article
metadata_visibility: show
contact_email: Library-ICRISAT@CGIAR.ORG
creators_name: Panwar, S
creators_name: Singh, K N
creators_name: Kumar, A
creators_name: Gurung, B
creators_name: Sarkar, S K
creators_name: Sivaramane, N
creators_name: Rathore, A
icrisatcreators_name: Rathore, A
affiliation: Indian Council of Agricultural Research, Krishi Bhawan (New Delhi)
affiliation: ICRISAT (Patancheru)
country: India
title: Pre harvest forecasting of crop yield using non-linear regression modelling: A concept
ispublished: pub
subjects: cr1
subjects: s20
full_text_status: restricted
keywords: Detrended yield, Forecasting, Nonlinear model, Weather Indices Approach, Weather variables, crop yield, non-linear regression modelling, Pre harvesting
abstract: A reliable and timely forecast of crop production helps
in planning, formulation and implementation of policies
relating to food procurement, its distribution, price, import
and export and for exercising several administrative measures
for storage and marketing of agricultural commodities. Thus
pre-harvest forecasting of production is required when crop
is still standing in the field. An efficient forecasting is thus a
pre-requisite for food supply information system at district
and state level. The final crop production estimates, though
based on objective crop-cutting experiments, are of limited
utility as these become available much later after the crop
harvest. In view of this, there is a need for developing an
objective methodology for pre-harvest forecasting of crop
yield...
date: 2017-05
date_type: published
publication: Indian Journal of Agricultural Sciences
volume: 87
number: 5
publisher: ICAR
pagerange: 685-689
refereed: TRUE
issn: 0019-5022
official_url: http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/70210
citation:   Panwar, S and Singh, K N and Kumar, A and Gurung, B and Sarkar, S K and Sivaramane, N and Rathore, A  (2017) Pre harvest forecasting of crop yield using non-linear regression modelling: A concept.  Indian Journal of Agricultural Sciences, 87 (5).  pp. 685-689.  ISSN 0019-5022     
document_url: http://oar.icrisat.org/10045/1/70210-176490-1-SM.pdf