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


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.


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

Full Text:



International Conference on Innovations in Power and Advanced Computing Technologies [i-PACT2017] : Weather data analysis using Spark – An In-memory Computing Framework

IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, VOL. 8, NO. 11

November 2015 : The Impact of National Land Cover and Soils Data on SMOS Soil Moisture Retrieval Over Canadian Agricultural Landscapes

1st International Conference on Next Generation Computing Technologies (NGCT-2015) Dehradun, India, 4-5 September 2015: Big Data in Precision Agriculture : Weather Forecasting for Future Farming

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 54, NO. 11, NOVEMBER 2016: Spiking Neural Networks for Crop Yield Estimation Based on Spatiotemporal Analysis of Image Time Series

2nd International Conference on Contemporary Computing and Informatics (ic3i): Agriculture Yield Prediction Using Predictive Analytic Techniques

International Conference on Computing, Communication and Automation (ICCCA2017): ADANS: An Agriculture Domain Question Answering System using Ontologies

IEEE International Conference on Big Data: Towards Development of Spark Based Agricultural Information System including Geo-Spatial Data

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


  • There are currently no refbacks.

Copyright (c) 2018 International Journal of Advanced Research in Computer Science