IMPLEMENTING DATA SCIENCE FOR RAINFALL PREDICTION WITH VARIABLE PARAMETERS THROUGH MACHINE LEARNING AND ADVANCED BIG DATA TOOLS.
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Abstract
The weather parameters are
• Temperature
• Humidity
• Wind speed
• Wind direction
• Rainfall
• Pressure
The major occupation of the Indian people is Agriculture. Rainfall plays a major role in agriculture. The prediction of rainfall helps the farmer to decide the type of a crop. The crops broadly categorized in to 2 types.
1) Short Term crops
2) Long Term crops
Short Term Crops: The short term crops required less water and the crop completes with in the short period. Eg: Leafs,
Long Term Crops: The long term crops required more water and the crop takes long period such as 3 months, 6 months, 1 year etc.
Most of the crops are depends on Rainfall. So the prediction of rainfall helps the farmers to decide the type of crop.
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References
Gandhi, Mahatma “Gandhi, An Auto Biography†Beacon Press, December 1983.
Shaminder singh, Baljeet singh “Training Back Propagation Neural Networks with genetic algorithm for weather forecasting†IEEE 8th International Symposium on intelligent systems and informatics sebia, 2010.
Saeed Reza Khodashenas et al, Najmeh Khalili “Daily Rainfall Forecasting for Mashhad Synoptic Station using Artificial Neural networks, International Conference on Environmental and Computer Science IPCBEE , 2011. VOL.19 (2011).
Zaman M. Faisal, H.Hirose, Sumi S. Monira “ Comparision of Artificially Intelligent Methods in Short Term Rainfall Forecast†the 13th International Conference on Computer And Information Technology, Vol. PID728, 2010.
Foster provost, Tom Fawcett,†Data Science for Business†‘O Relly Media, 2016.
Rachel Schutt, “Doing Data Science†Orelly Meida, 2013.
Peter A Flach “Machine Learningâ€, springer Publications-2018.
Pranjal Awasthi, Maria Florina Balcan, Konstain Voevodski “ Local algorithms for interactive clustering†volume 18 Feb-2017, Journal of Machine Learning Research
Gowthami, “The Prediction of Indian Monsoon Rainfall-A Regression Approachâ€, Solstice-An Electronic Journal of Geography and mathematics.
Dr. Vincent Granville, “Developing Analytic Talent†Wiley, April 2014.