Survey of Crop Prediction Using Different Classification Analytical Model
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2018, Vol 20, Issue 5
Abstract
In this paper, there are different ways has been analyzed to predict the crop yield. Now a day, there's tremendous growth in paper publication and analysis in numerous streams for getting efficient result. The crop yield productions are going to be continuously become terribly crucial in our standard of living. To pursue the quickest and extremely economical thanks to enhance the crop yield the near-term arrange is application and optimizing the present agriculture technologies. This may result in important improvement in agriculture that is suboptimal resolution. The most goal of this analysis is employed to summarize the historical trend of crop production in nominal region to look at the foremost constraint to extend the productivity in future. Except for this paper, to performing comparative study with techniques of LR, KNN, NBC, J.48, MLP, RF, SVM, DT and Artificial Neural Network (ANN) that statistics estimation of crop yield. To boot, here to incorporate the information pre-processing approach to predict the worth while not duplication and efficient time manner that understand high accuracy and prediction capabilities.
Authors and Affiliations
M. Saranya, Dr. S. Sathappan
Keywords
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- EP ID EP406754
- DOI 10.9790/0661-2005037280.
- Views 89
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