Survey on Crop Suggestion based on Regional Soil Quality

Authors

  • Mayuresh Kulkarni  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
  • Rutuja Jade  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
  • Apekshita Bhosale  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
  • Bhagyashree Ramteke  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
  • Dr. Sunil Rathod  Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India

Keywords:

Agriculture, Machine learning, Soil, Classification

Abstract

Agriculture is the major source for living for the people of India and also plays a major role in economy and employment. Soil is an important key factor for agriculture .There are several soil varieties in India.. In order to predict the type of crop that can be cultivated in that particular soil type we need to understand the features and characteristics of the soil type. The common difficulty present among the Indian farmers are they don

References

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  2. Satish Babu (2013), ‘A Software Model for Precision Agriculture for Small and Marginal Farmers’, at the International Centre forFree and Open Source Software (ICFOSS) Trivandrum, India.
  3. Anshal Savla, Parul Dhawan, Himtanaya Bhadada, Nivedita Israni, Alisha Mandholia , Sanya Bhardwaj (2015), ‘Survey of classification algorithms for formulating yield prediction accuracy in precision agriculture', Innovations in Information,Embedded and Communication systems (ICIIECS).
  4. Rakesh Kumar, M.P. Singh, Prabhat Kumar and J.P. Singh (2015), ’Crop Selection Method to Maximize Crop Yield Rate using Machine Learning Technique’, International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM).
  5. Liying Yang (2011), ‘Classifiers selection for ensemble learning based on accuracy and diversity’ Published by Elsevier Ltd. Selection and/or peer-review under responsibility of  CEIS].

International Journal of Scientific Research in Science and Technology

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Published

2020-12-18

Issue

Volume 5, Issue 8, November-December-2020

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

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

How to Cite

[1]
Mayuresh Kulkarni, Rutuja Jade, Apekshita Bhosale, Bhagyashree Ramteke, Dr. Sunil Rathod, " Survey on Crop Suggestion based on Regional Soil Quality, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 8, pp.265-269, November-December-2020.