TILLAGE : An Ensemble-Based Agricultural Crop Recommendation System

Authors

  • Saranya K  Assistant Professor, Information Technology Department, Kings Engineering College, Irungattukottai Sriperumbudur, Tamil Nadu, India
  • Keerthana R  Information Technology Department, Kings Engineering College, Irungattukottai Sriperumbudur, Tamil Nadu, India
  • Nageswari S  Information Technology Department, Kings Engineering College, Irungattukottai Sriperumbudur, Tamil Nadu, India

DOI:

https://doi.org/10.32628/IJSRSET2310231

Keywords:

Recommender System, Machine Learning, Ensemble Techniques, Data Acquisition, Convolutional Neural Network

Abstract

India is primarily an agricultural nation, and both the Indian economy and people's daily lives are heavily reliant on agriculture. In our research One flaw we discovered was that many of them thinks on one aspect (weather or soil) to judge whether crops would grow successfully.This paper presents the precision agricultural recommendation system with more parameters helps to farmer to choose right crops for their field with the help of ensemble majority voting techniques like SVM, Naive bayes, Random Forest, KNN and a Convolutional neural network and also it provide valid fertilizers and pesticide to reduce the farmer’s burden in selection right things to their field.

References

  1. Tripathy, A. K., et al.(2011) "Data mining and wireless sensor network for agriculture pest/disease predictions." Information and communication Technologies (WICT), 2011 World Congress on.IEEE.
  2. Priyanka P.Chandak (2017),” Smart Farming System Using Data Mining”, International Journal of Applied Engineering Research,Volume 12, Number 11
  3. Kiran Shinde (2015),”Web Based Recommendation System for farmers”, International Journal on Recent and Innovation Trends in Computing and Communication, Volume 3,Issue 3, ISSN:2321- 8169,March.
  4. Shreya S.Bhanose (2016),”Crop and Yield Prediction Model”,International Journal of Advanced Scientific Research and Engineering Trends, Volume 1,Issue 1,ISSN(online) 2456-0774,April.
  5. Ramesh Babu Palepu (2017) ” An Analysis of Agricultural Soils by using Data Mining Techniques”, International Journal of Engineering Science and Computing, Volume 7 Issue No. 10 October.
  6. Rajeswari and K. Arunesh (2016) “Analysing Soil Data using Data Mining Classification Techniques”, Indian Journal of Science and Technology, Volume 9, May.
  7. A.Swarupa Rani (2017), “The Impact of Data Analytics in Crop Management based on Weather Conditions”, International Journal of Engineering Technology Science and Research, Volume 4,Issue5,May
  8. Bose, Nikola K. Kasabov (2016), “Spiking Neural Networks For Crop Yield Estimation Based on Spatiotemporal Analysis ofImage Time Series”, IEEE Transactions On Geoscience And Remote Sensing.
  9. Vikas Kumar, Vishal Dave (2013), “KrishnaMantra:AgriculturalRecommendation System”, Proceedings of the 3rd ACM Symposium on Computing for Development, January.
  10. SavaeLatu (2009), ”Sustainable Development : The Role Of Gis And Visualisation”, The Electronic Journal on Information Systems in Developing Countries, EJISDC 38, 5, 1-17.
  11. Nasrin Fathima.G (2014), “Agriculture Crop Pattern Using DataMining Techniques”, International Journal of Advanced Research inComputer Science and Software Engineering, Volume 4, May.
  12. Ramesh A.Medar (2014), ”A Survey on Data Mining Techniques for Crop Yield Prediction”, International Journal of Advance Research in Computer Science and Management Studies, Volume 2, Issue 9,September.
  13. Shakil Ahamed.A.T.M, Navid Tanzeem Mahmood (2015),”Applying data mining techniques to predict annual yield of major crops and recommend planting different crops in different districts inBangladesh”, ACIS 16th International Conference on SoftwareEngineering, Artificial Intelligence, Networking andParallel/DistributedComputing (SNPD),IEEE,June.
  14. G. Adomavicius and A. Tuzhilin(2005), “Toward the Next Generation of Recommender Systems: A Survey of the State-of-the- Art and Possible Extensions,” IEEE Trans. Knowledge and Data Eng., vol. 17, no. 6, pp. 734-749, June.
  15. Avinash Jain, Kiran Kumar (2016),”Application of Recommendation Engines in Agriculture”, International Journal of Recent Trends in Engineering & Research, ISSN: 2455-1457.

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2023-04-30

Issue

Volume 10, Issue 2, March-April-2023

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Saranya K, Keerthana R, Nageswari S "TILLAGE : An Ensemble-Based Agricultural Crop Recommendation System" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 2, pp.280-285, March-April-2023. Available at doi : https://doi.org/10.32628/IJSRSET2310231