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Research Article - Journal of Biomedical Imaging and Bioengineering (2017) Volume 1, Issue 1
A seed yield estimation modelling using classification and regression trees (CART) in the biofuel supply chain.
Cultivating Jatropha plant in the barren lands is the main focus of this paper. This in turn targets concern about, the biofuel production and providing a source of income to the barren land owners. Hence the decision making of cultivating the Jatropha plant is done by predicting the Jatropha seed yield for the given set of barren lands. The prediction of yield estimation of Jatropha seed through identification of attributes which affects the crop yield and growth characteristics of Jatropha seed can support the farmers in the decision-making process of cultivation. This plays a vital role in the harvest management of Jatropha seed. The Information Technology has also emerged into the agricultural sector, hence an indirect measurement of crop yield through challenging knowledge discovery techniques have become an active subject in the field of agriculture and supply chain network. A classification modeling is used effectively to estimate the probabilities of attributes in predicting the yield, which in turn influences biofuel production and its entire supply chain. This research aims at the successful convention of the tree based classifier CART in order to predict the yield estimation of Jatropha seed by applying it on the agricultural dataset. The performance of tree-based classifier- CART is being evaluated through the free and open source data mining software ‘R’ Language on the agricultural dataset.
Author(s): Srinivasan SP, Shanthi DS