Forecasting Rice Production in West Bengal State in India: Statistical vs. Computational Intelligence Techniques

  title={Forecasting Rice Production in West Bengal State in India: Statistical vs. Computational Intelligence Techniques},
  author={Arindam Chaudhuri},
  journal={Int. J. Agric. Environ. Inf. Syst.},
  • A. Chaudhuri
  • Published 1 October 2013
  • Computer Science
  • Int. J. Agric. Environ. Inf. Syst.
Forecasting rice production is a challenging problem in agricultural statistics. The inherent difficulty lies in demand and supply affected by many uncertain factors viz. economic policies, agricultural factors, credit measures, foreign trade etc. which interact in a complex manner. Since last few decades, Statistical techniques are used for developing predictive models to estimate required parameters. Determination of nature of rice production time series data is difficult, expensive, time… 
8 Citations

Mining Efficient Fuzzy Bio-Statistical Rules for Association of Sandalwood in Pachaimalai Hills

The newly proposed algorithm is utilized for seeking close associations and relationships between a group of plant species clustering around Sandalwood in Pachaimalai hills, Eastern Ghats, Tamilnadu and the experimental results show a very high utility of fuzzy association rules and fuzzy correlation rule mining in modeling plant association problems.

Hierarchical Modified Regularized Least Squares Fuzzy Support Vector Regression through Multiscale Approach

HMRLFSVR is a model for identifying estimated models that are based on minimizing Vapnik's loss function of residuals and considers disadvantages when approximating non stationary function using single kernel approach where it is not able to follow variations in frequency content in different regions of input space.

Using Spatial Statistics Tools on Remote-Sensing Data to Identify Fire Regime Linked with Savanna Vegetation Degradation

The authors demonstrated that a statistical analysis based on spatial GLM is able either to stratify an area when non ancillary data on land use exist or to validate an existing stratification.

Infrastructure Sharing & Renewable Energy Use In Telecommunication Industry for Sustainable Development

An important factor in green ICT challenges is to reduce the creation and emission of green house gases by all means. This chapter is concentrating on how telecommunication network operators could

Research in Agricultural and Environmental Information Systems

An overview of the different scientific issues presented in the 50 papers published in IJAEIS between 2010 and 2013 is presented, which identifies the main trends in the field of agricultural and environmental information systems.

Environmental Monitoring Based on the Wireless Sensor Networking Technology: A Survey of Real-World Applications

This paper provides a critical overview of the basic components existing WSN deployments use, and categorizes these deployments into five different field categories, namely agricultural monitoring, environmental monitoring, air-water pollution monitoring, monitoring of destruction phenomena, as well as monitoring of livestock, and wild animal.

The optimizing web: A green ICT research perspective

This chapter presents a vision for the Optimizing Web – a large global network of interoperating optimizers that is as ubiquitous as the present-day web, and that leverages it’s existing infrastructure for green ICT.

Proyeksi Ekspor Beras Nasional Melalui Gerakan Tiga Kali Lipat Ekspor (Gratieks) Pertanian Indonesia

Indonesia memiliki neraca perdagangan beras yang selalu negatif, artinya impor beras jauh lebih tinggi dari ekspornya. Merujuk pada strategi dan target Kementerian Pertanian Kabinet Indonesia Maju,



Time Series Forecasting Using Hybrid Neuro-Fuzzy Regression Model

A hybrid Neuro-Fuzzy model combining the advantages of ANN and Fuzzy regression is developed to forecast the exchange rate of US Dollar to Indian Rupee and empirical results indicate that performance of the model is comparatively better than other models which make it an ideal candidate for forecasting and decision making.

The Influence of Rainfall on the Yield of Wheat at Rothamsted

At the present time very little can be claimed to be known as to the effects of weather upon farm crops. The obscurity of the subject, in spite of its immense importance to a great national industry,


The proposed high-order fuzzy time series model is developed and an algorithm to forecast the enrollments of the University of Alabama is developed, where the historical enrollment data at theUniversity of Alabama are used to illustrate the forecasting process.

Optimizing feedforward artificial neural network architecture

Modeling Species Distribution and Change Using Random Forest

Although inference is a critical component in ecological modeling, the balance between accurate predictions and inference is the ultimate goal in ecological studies (Peters 1991; De’ath 2007).