Manuscript Number : IJSRST196172

Crop Recommendation System to Maximize Crop Yield in Ramtek region using Machine Learning

Authors(3) :-D. Anantha Reddy, Bhagyashri Dadore, Aarti Watekar

In Indian economy and employment agriculture plays major role. The most common problem faced by the Indian farmers is they do not opt crop based on the necessity of soil, as a result they face serious setback in productivity. This problem can be addressed through precision agriculture. This method takes three parameters into consideration, viz: soil characteristics, soil types and crop yield data collection based on these parameters suggesting the farmer suitable crop to be cultivated. Precision agriculture helps in reduction of non suitable crop which indeed increases productivity, apart from the following advantages like efficacy in input as well as output and better decision making for farming. This method gives solutions like proposing a recommendation system through an ensemble model with majority voting techniques using random tree, CHAID, K _ Nearest Neighbour and Naive Bayes as learner to recommend suitable crop based on soil parameters with high specific accuracy and efficiency. The classified image generated by these techniques consists of ground truth statistical data and parameters of it are weather, crop yield, state and district wise crops to predict the yield of a particular crop under particular weather condition.

Authors and Affiliations

D. Anantha Reddy
Kavikulguru Institute of Technology and Science, Ramtek, Nagpur, Maharashtra, India
Bhagyashri Dadore
Kavikulguru Institute of Technology and Science, Ramtek, Nagpur, Maharashtra, India
Aarti Watekar
Kavikulguru Institute of Technology and Science, Ramtek, Nagpur, Maharashtra, India

Precision agriculture, Recommendation system, Ensembling model, Majority voting techniques, Random tree, CHAID, K-Nearest Neighbor and Naive Bayes.

  1. SatishBabu (2013),'A Software Model for Precision Agriculture for small and Marginal Farmers'. At the International Centre for and Open Source Software(ICFOSS) Trivandrum, India.
  2. AnshalSavla, ParulDhawan, HimtanayaBhadada, NiveditaIsrani, Alisha Mandholia, SanyaBhardwaj (2015),'Survey of classification algorithms for formulating yield prediction accuracy in precision agriculture', Innovation in Information, Embeddedand Communication system(ICIIECS).
  3. AakunuriManjula, Dr. G. Narsimha (2015),'XCYPF:AFlexibleand Extensible Framework for Agriculture Crop Yield Prediction', Conference on Intelligent Systems and Control(ISCO).
  4. YashSanghvi , Harsh Gupta, HarmishDoshi, DivyaKoli, AmogghAnsh , DivyaKoli, Umang Gupta(2015), Comparison of Self Organizing Maps and Sammon's Mapping on agriculture datasets for precision agriculture', International Confereence on Innovations in information, Embedded and Communication Systems(ICIIECS).
  5. Rakeshkumar, M.P. Singh, Prabhat Kumar and J.P. Singh(2015),'Crop Selection Methode to Maximize Crop Yeild Rate using Machine Learning Technique',International conference on smart Technologies and Management for Computing,Communication,Controls,Energy and Materials(ICSTM).
  6. A.T.M. ShakilAhamed, NavidTanzeemMahmood, NazmulHossain, Mohammad TanzirKabir, Kallal Das, FaridurRahman, Rashedur M Rahman(2015),'Applying Data Mining Techniques to Predict Annual Yeild of Major Crop and Recommend Planing Different Crop in Different District in Bangladesh',(SNPD) IEEE/ACIS International Conference.
  7. LiyingYang(2011),'Classifiers selection of enssebling learning based on accuracy and diversity'Published by Elsevier Ltd. Selection and/or peer-review under responsibility of[CEIS].
  8. Tapas RanajnBaitharua, Subhendu Kumar Panib(2016),'Analysis of Data Mining Techniques for Healthcare Decision Support System Using Liver Discover Dataset' International conference on Computational Modeling and Security(CMS).
  9. Monali Paul, Santosh K. Vishwakarma, Ashok Verma(2015),'Analysis of soil Behaviour and Prediction of Crop Yield using Data Mining Approach',International Conference on Computational Intelligence and Communication Networks.
  10. Bhuvana, Dr. C. Yamini(2015),'Survey on Classification Algorithms in Data mining'International conference on resent Advance in Engineering Science and Management.

Publication Details

Published in : Volume 6 | Issue 1 | January-February 2019
Date of Publication : 2019-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 485-489
Manuscript Number : IJSRST196172
Publisher : Technoscience Academy

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

Cite This Article :

D. Anantha Reddy, Bhagyashri Dadore, Aarti Watekar, " Crop Recommendation System to Maximize Crop Yield in Ramtek region using Machine Learning", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 6, Issue 1, pp.485-489, January-February-2019. Available at doi : https://doi.org/10.32628/IJSRST196172    
Journal URL : https://ijsrst.com/IJSRST196172
Citation Detection and Elimination     |      | | BibTeX | RIS | CSV

Article Preview