An Adaptive Model for Forecasting Seasonal Rainfall Using Predictive Analytics

@article{Reddy2019AnAM,
  title={An Adaptive Model for Forecasting Seasonal Rainfall Using Predictive Analytics},
  author={P. Chandrashaker Reddy and Alladi Sureshbabu},
  journal={International Journal of Intelligent Engineering and Systems},
  year={2019}
}
  • P. Reddy, A. Sureshbabu
  • Published 31 October 2019
  • Environmental Science
  • International Journal of Intelligent Engineering and Systems
India is a country which has exemplary climate circumstances comprising of different seasons and topographical conditions like high temperatures, cold atmosphere, and drought, heavy rainfall seasonal wise. These utmost varieties in climate make us exact weather prediction is a challenging task. Majority people of the country depend on agriculture. Farmers require climate information to decide the planting. Weather prediction turns into orientation in the farming sector to decide the start of… 
View via Publisher
inass.org
11 Citations
Background Citations
1
Methods Citations
1

Figures from this paper

11 Citations

Using a Self-Organizing Map to Explore Local Weather Features for Smart Urban Agriculture in Northern Taiwan
Weather plays a critical role in outdoor agricultural production; therefore, climate information can help farmers to arrange planting and production schedules, especially for urban agriculture (UA),…
A review of drought monitoring with big data: Issues, methods, challenges and research directions
Agricultural Big Data Architectures in the Context of Climate Change: A Systematic Literature Review
TLDR
The study aims to highlight the tools used to process, analyze, and visualize the data, to discuss the use of the architectures in crop, water, climate, and soil management, and especially to analyze the context, whether it is in Resilience Mitigation or Adaptation.
Ensemble Learning Model for Prediction of Natural Gas Spot Price Based on Least Squares Boosting Algorithm
  • Aliyuda Ali
  • Computer Science
    2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI)
  • 2020
TLDR
Overall results show that the proposed model exhibits better performance over the state-of-the-art methods with R2, MSE and RMSE scores of 0.9668, 0.3248, and 0.5699, respectively.
Comprehensive Forecasting of Interconnected Socio- Economic Indicators as a Methodological Basis for Adopting Optimal Management
The article presents the theoretical achievements of technical cybernetics, in particular the principle of balancing variables. The essence of which in the final conclusion on the suitability of…
Ranking Spatial Data by Quality Preferences
TLDR
This paper studies how to process topk queries efficiently in this setting, where the attributes for which users specify target values might be handled by external, autonomous sources with a variety of access interfaces and presents several algorithms for processing such queries.
International Journal of Innovative Technology and Exploring Engineering (IJITEE)
TLDR
Examinations prove that the proposed methodology can precisely anticipate the quantity of future re-tweets for a particular tweet.
Texture Analysis of Mammogram Using Local Binary Pattern Method
TLDR
A feature extraction technique is offered as a method to lessen false-positive in breast mass recognition and distinguishing explicit breast masses and ordinary tissue is the objective.
Social Recommendation with Cross-Domain Transferable Knowledge
TLDR
A novel Hybrid Random Walk (HRW) method is proposed, which incorporates factors of item transferability, including popularity and behavioral consistency, to select transferable items in auxiliary domains, bridge cross-domain knowledge with the social domain, and accurately predict user-item links in a target domain.
Analysis of Tissue Abnormality in Mammography Images Using Gray Level Co-occurrence Matrix Method
TLDR
A feature extraction technique with mammography images to breast mass recognition, distinguishing normal tissue and abnormal breast masses and the best sensitivity, specificity, and accuracy are observed with a k nearest neighbor classifier.
...
...

References

SHOWING 1-10 OF 24 REFERENCES
Survey on weather prediction using big data analystics
  • P. Reddy, A. S. Babu
  • Environmental Science
    2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT)
  • 2017
Huge losses occur all most on a daily basis due to many natural calamities like earth quakes, storms, cyclones etc. that will have adverse effects on the lives of billions of people. In the modern…
Farmer Buddy-Weather Prediction and Crop Suggestion using Artificial Neural Network on Map-Reduce Framework
TLDR
This paper proposes an approach of using Hadoop for processing such Big volumes, variety and velocity of weather data, which includes application of Artificial Neural Network which is a convenient approach.
Rainfall Prediction using Artificial Neural Network on Map-Reduce Framework
TLDR
This paper proposes an approach of processing such Big volume of weather Data using Hadoop, which includes Artificial Neural Network implemented on Map-reduce framework for short term rainfall prediction.
Rainfall analysis and rainstorm prediction using MapReduce Framework
TLDR
A novel solution to manage the data based on spatial temporal characteristics using a Map Reduce Framework and the result indicates the proposed system improves the performance in terms of accuracy and efficiency.
Deep Learning Based Weighted SOM to Forecast Weather and Crop Prediction for Agriculture Application
  • Pushpa Mohan, K. Patil
  • Computer Science
    International Journal of Intelligent Engineering and Systems
  • 2018
TLDR
The proposed SOM strategy is one of the proper dimensionality reducing strategy to highlight the self-arranging outline and improved accuracy in weather and crop prediction up to 7-23% compared to the current approach.
BIG DATA TECHNIQUES : HADOOP AND MAP REDUCE FOR WEATHER FORECASTING
TLDR
A system that uses the historical weather data of a region and applies the MapReduce and Hadoop techniques to analysis these historical data is explained.
Multiple Linear Regressions for Predicting Rainfall for Bangladesh
Agricultural economy is largely based upon crop productivity and rainfall. For analyzing the crop productivity, rainfall prediction is require and necessary to all farmers. Rainfall Prediction is the…
The very short-term rainfall forecasting for a mountainous watershed by means of an ensemble numerical weather prediction system in Taiwan
Rainfall Forecasting in Bandung Regency Using C4.5 Algorithm
Bandung regency is one of Indonesian city that majority of the people are farmers. Farmers need weather information to determine the planting season. Weather forecasting become an orientation in…
Storm Analysis with Raw Rainfall Dataset by using Artificial Neural Network and Min-Max Algorithms
TLDR
A methodology to develop a Storm analysis model from Raw Rainfall dataset using techniques such as Artificial Neural Network and Min-Max Algorithm to improve the total efficiency of the storm intensity prediction is proposed.
...
...