NDLI: A Computer Model for Simulating Sunflower Growth and Yield

Content Provider	IEEE Xplore Digital Library
Author	Gholipouri, A. Sharifi, R.S. Sedghi, M. Heydari, A.
Copyright Year	2009
Abstract	Sunflower (Helianthus annus L.) is one of the most important oil seed crops in Iran. In spite of very progressing in production mechanization and varieties breeding, weather is still one of the most important determining factors for growth and production crops. Under optimal water and nutrient supply, radiation and temperature are two important factors for determining of production and dry matter accumulation. Quantification of the effect of radiation and effect of temperature on growth and yield of sunflower is important in selecting this crop for different agro-climatic situation. Environmental limitations in production at each regional can be evaluated using a crop simulation model and prolong weather data. The model operates simulation daily and it has four segments include simulation of leaf area index, light interception, dry matter production and seed yield. For testing model, the capability of the model was determined to predicting of leaf area index and accumulated dry matter production. Paired data of observed and simulated for both leaf area index and accumulated dry matter were tested by t test. Between paired data were not significant (α =0.05). Also linear regression between observed and simulated values for leaf area index and accumulated dry matter explained more than 95% of variability.
Starting Page	240
Ending Page	244
File Size	259254
Page Count	5
File Format	PDF
ISBN	9780769539379
e-ISBN	9781424455911
DOI	10.1109/ICECS.2009.11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-28
Publisher Place	UAE
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature Computational modeling Computer simulation Linear regression Crops Weather forecasting Production Predictive models Petroleum Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Implementing an Intuitive Reasoner for Predicting Continuous Weather Variables

A Novel Nonlinear Ensemble Rainfall Forecasting Model Incorporating Linear and Nonlinear Regression

Model of capacity demand under uncertain weather

Cost of temperature history data uncertainties in short term electric load forecasting

Coevolution of simulator proxies and sampling strategies for petroleum reservoir modeling

A Prediction Model of Traffic Congestion Using Weather Data

Using time series of SPOT VGT NDVI for crop yield forecasting

Research on Neural Network Modeling and Computer Simulating Forecasting of Rheological Parameters of Soft-Soil

Online incremental regression for electricity price prediction

A Computer Model for Simulating Sunflower Growth and Yield

Similar Documents

Implementing an Intuitive Reasoner for Predicting Continuous Weather Variables

A Novel Nonlinear Ensemble Rainfall Forecasting Model Incorporating Linear and Nonlinear Regression

Model of capacity demand under uncertain weather

Cost of temperature history data uncertainties in short term electric load forecasting

Coevolution of simulator proxies and sampling strategies for petroleum reservoir modeling

A Prediction Model of Traffic Congestion Using Weather Data

Using time series of SPOT VGT NDVI for crop yield forecasting

Research on Neural Network Modeling and Computer Simulating Forecasting of Rheological Parameters of Soft-Soil

Online incremental regression for electricity price prediction

A Computer Model for Simulating Sunflower Growth and Yield