Forecasting of Cotton Area, Production and Productivity using Trend analysis
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 12
Abstract
The retrospective study was conducted to check the trend analysis of area, production and Productivity for Cotton in Tamil Nadu. The findings of the study are based on data during the years (1970 to 2012). Three Models of trend analysis were applied .The models were Linear Trend Model, Quadratic Trend Model and Cubic Trend Model. In the present study was forecasting model for next eight year of area, production and productivity for the cotton were estimated. The exploration of forecasted period from 2013 to 2020 was presented. The best fitted selected model forecasted an area of 1.138(lakh.ha) from 2.083(lakh.ha), production is of about 4.404(lakh.bales) from 5.151(lakh bales) and finally productivity of 981(Kg/ha) from 1370(Kg/ha) respectively were estimated for the years 2013-20. Forecast values are very close to actual values and have positively increased is due to availability of cotton crops in Tamil Nadu.
Authors and Affiliations
M. Sundar Rajan, M. Palanivel, S. Kalai Mohan
Keywords
Related Articles
- EP ID EP21515
- DOI -
- Views 242
- Downloads 3
Improved Cryptography Algorithm to Enhanced Data Security
The high growth in the evolution of networking and wireless networks leads to grant communication anywhere at any time. Security of data and telecommunication can be done by a technique called cryptography. In this pape...
Comparison Of Various 32-Bit Parallel Prefix Adders
In Very Large Scale Integration (VLSI) designs, Parallel prefix adders (PPA) have the higher delay performance. This paper investigates four varieties of PPA’s (Kogge Stone Adder (KSA), Spanning Tree Adder (STA), Brent...
Comparative Analysis of Image Enhancement Techniques
the image enhancement techniques plays significant role in vision processing. Many techniques have been proposed so far to improve the results but none has preferred well for every kind of images. The review has shown t...
slugAn Insight Into Concept ofCluster Analysis and Its Evaluation.
Cluster analysis is a method for identification of homogeneous groupsof objects (observations, cases or events) based on the information found in the data describing the objects or their relationships. Themain goal is t...
Experimental Behaviour of Glass Fiber Reinforced Concrete
The addition of glass fibers to improve the properties of concrete is very ancient technique. Use of steel reinforcement in concrete increases strength and ductility of the concrete, but requires careful design and erec...