A Prediction System for Farmers to Enhance the Agriculture Yield using Cognitive Data Science

Muthurasu N, M. Narayanan @ Ramanathan, Sahithyan S, Aravind M, Ramanagiri Bharathan A

Abstract


This paper gives an idea about how to discover additional insights from precision agriculture data through big data approach. Big data analytics in agriculture applications provide a new insight to give advance weather decisions, improve yield productivity and avoid unnecessary cost related to harvesting, use of pesticide and fertilizers. There are number of numerical weather models and algorithms that have been developed and enforced to predict the weather forecasting.

Keywords


Agriculture yield; Regression models; Predictive Models; Tensor flow; Big Data; Weather forecasting; Data Analytics; Predictive Analytics; NLP; Chatbot

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References


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DOI: https://doi.org/10.26483/ijarcs.v9i2.5784

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