Eccocentric Vision for Coconut Tree Analysis and Prediction
7 Pages Posted: 6 Apr 2020
Date Written: April 2, 2020
Abstract
The cocoa palm is alluded to as “KALPAVRIKSHA”- the ‘tree of paradise’ .As each single piece of the palm is effective to humankind in all manner. Several families in Republic of India depend upon on coconut resource either directly or indirectly. We forecast a coconut tree development, based on their physical appearances and their land area, soil texture, Moisture, humidity. The growth of the coconut tree is identified in each stage by its temporal data for its further improvement and support. We have utilized the coconut tree dataset with 61 lines and 25 credits to decide the expectation of growth and illness. The most objective of this paper is to classify information to predict the growth rate and yield. The classification model is developed based on training data set and then utilising that model to predict class of test data.Analyse the data set and group into cluster toassist the users in extracting helpful information and determine an appropriate formula to develop a prophetic model.
Keywords: Coconut tree growth prediction,Coconut tree dataset,Coconut palm Temporal data
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