Manuscript Number : IJSRST205853

A Survey on Crop yield prediction using Machine Learning

Authors(5) :-Shivam Parande, Muskan Mulani, Meghashree Choudhary, Neha Singh, Prof. Aseema Jana

Machine Learning is an emerging research field in crop yield analysis and crop prediction analysis too. Yield prediction and crop prediction are very important issue in agricultural. India being a farming nation, its economy transcendently relies upon farming yield development and agroindustry items. Ranchers for the most part have the outlook of planting a similar yield, utilizing more composts and following the public decision. The normal issues the vast majority of the ranchers confronting today is about forecast of harvest and yield. Any farmer will be interested to know which crop to grow, so that it increases its yield production. This paper describes various methods and algorithm's used for crop prediction and crop yield prediction.

Authors and Affiliations

Shivam Parande
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
Muskan Mulani
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
Meghashree Choudhary
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
Neha Singh
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
Prof. Aseema Jana
Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India

Climate, Machine Learning, Algorithms, Prediction.

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Publication Details

Published in : Volume 5 | Issue 8 | November-December 2020
Date of Publication : 2020-12-18
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 305-308
Manuscript Number : IJSRST205853
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Shivam Parande, Muskan Mulani, Meghashree Choudhary, Neha Singh, Prof. Aseema Jana, " A Survey on Crop yield prediction using Machine Learning", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 5, Issue 8, pp.305-308, November-December-2020.
Journal URL : https://ijsrst.com/IJSRST205853
Citation Detection and Elimination     |      | |
  • Niketa Gandhi, Leisa Armstrong, Owaiz Petkar, Amiya Kumar Tripathy (2016). “Rice crop yield prediction in India using support vector machines” IEEE Conference, 2016.
  • K. E. Eswari, L.Vinitha (2018). “Crop Yield Prediction in Tamil Nadu using Bayesian Network”, International Journal of Intellectual Advancements and Research in Engineering Computations, 2016.
  • Pavan Patil, Virendra Panpatil, Prof.Shrikant Kokate (2020). “Crop Prediction Systems Using Machine Learning”, International Research Journal Of Engineering and Technology, 02 Feb 2020.
  • Aruvansh Nigam, Saksham Garg, Archit Agrawal, Parul Agrawal (2019). “Crop Yield Prediction Using Machine Learning Algorithms”, Fifth IEEE International Conference on Image Information Processing, 2019.
  • Rakesh Kumar; M.P. Singh; Prabhat Kumar; J.P. Singh (2015). “Crop Selection Method to maximize crop yield rate using machine learning technique”, IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015.
  • K.D.Yesugade, Aditi Kharde , Ketki Mirashi , Kajal Muley ,Hetanshi Chudasama (2018). “Machine Learning Approach for Crop Selection based on Agro-Climatic Conditions”, International Journal of Advanced Research in Computer and Communication Engineering, 2018.
    • " target="_blank"> BibTeX     |
  • Niketa Gandhi, Leisa Armstrong, Owaiz Petkar, Amiya Kumar Tripathy (2016). “Rice crop yield prediction in India using support vector machines” IEEE Conference, 2016.
  • K. E. Eswari, L.Vinitha (2018). “Crop Yield Prediction in Tamil Nadu using Bayesian Network”, International Journal of Intellectual Advancements and Research in Engineering Computations, 2016.
  • Pavan Patil, Virendra Panpatil, Prof.Shrikant Kokate (2020). “Crop Prediction Systems Using Machine Learning”, International Research Journal Of Engineering and Technology, 02 Feb 2020.
  • Aruvansh Nigam, Saksham Garg, Archit Agrawal, Parul Agrawal (2019). “Crop Yield Prediction Using Machine Learning Algorithms”, Fifth IEEE International Conference on Image Information Processing, 2019.
  • Rakesh Kumar; M.P. Singh; Prabhat Kumar; J.P. Singh (2015). “Crop Selection Method to maximize crop yield rate using machine learning technique”, IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015.
  • K.D.Yesugade, Aditi Kharde , Ketki Mirashi , Kajal Muley ,Hetanshi Chudasama (2018). “Machine Learning Approach for Crop Selection based on Agro-Climatic Conditions”, International Journal of Advanced Research in Computer and Communication Engineering, 2018.
    • " target="_blank">RIS     |
  • Niketa Gandhi, Leisa Armstrong, Owaiz Petkar, Amiya Kumar Tripathy (2016). “Rice crop yield prediction in India using support vector machines” IEEE Conference, 2016.
  • K. E. Eswari, L.Vinitha (2018). “Crop Yield Prediction in Tamil Nadu using Bayesian Network”, International Journal of Intellectual Advancements and Research in Engineering Computations, 2016.
  • Pavan Patil, Virendra Panpatil, Prof.Shrikant Kokate (2020). “Crop Prediction Systems Using Machine Learning”, International Research Journal Of Engineering and Technology, 02 Feb 2020.
  • Aruvansh Nigam, Saksham Garg, Archit Agrawal, Parul Agrawal (2019). “Crop Yield Prediction Using Machine Learning Algorithms”, Fifth IEEE International Conference on Image Information Processing, 2019.
  • Rakesh Kumar; M.P. Singh; Prabhat Kumar; J.P. Singh (2015). “Crop Selection Method to maximize crop yield rate using machine learning technique”, IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015.
  • K.D.Yesugade, Aditi Kharde , Ketki Mirashi , Kajal Muley ,Hetanshi Chudasama (2018). “Machine Learning Approach for Crop Selection based on Agro-Climatic Conditions”, International Journal of Advanced Research in Computer and Communication Engineering, 2018.
    • " target="_blank">CSV

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