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  1. Home
  2. Volume 7, Issue 2
  3. Authors

Online ISSN: 2515-8260

Volume7, Issue2

Crop Value Forecasting using Decision Tree Regressor and Model s

    AkshayPrassanna S B A Harshanand, B Srishti Chaitanya R KirubakaranNithiyaSoundari . SwathiSriram . V Manoj Kumar VarshithaChennamsetti . Venkateshwaran G Dr.Pramod Kumar Maurya

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 3702-32722

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Abstract

Machine Learning is an emerging research field which can be used for the analysis of crop
price prediction and accurately provide solutions for the same. We can use this system as a backhand
while we decide what a farmer should plant while considering factors such as annual rainfall, WPI
and so on which is provided from the dataset and produce a logical conclusion on which products
would give a more reliable outcome. The performance between Random forest ensemble learning and
decision tree regressor is compared and it has been observed that the Random Forest Ensemble
learning method gives a higher accuracy. In this system there are 23 crops whose information can be
accessed upon for deciding collaborated with a simple user friendly UI
Keywords:
    decision tree Ensemble Learning accuracy Random Forest Crop Prediction Flask Python
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(2020). Crop Value Forecasting using Decision Tree Regressor and Model s. European Journal of Molecular & Clinical Medicine, 7(2), 3702-32722.
AkshayPrassanna S; B A Harshanand, B Srishti; Chaitanya R; KirubakaranNithiyaSoundari .; SwathiSriram .; V Manoj Kumar; VarshithaChennamsetti .; Venkateshwaran G; Dr.Pramod Kumar Maurya. "Crop Value Forecasting using Decision Tree Regressor and Model s". European Journal of Molecular & Clinical Medicine, 7, 2, 2020, 3702-32722.
(2020). 'Crop Value Forecasting using Decision Tree Regressor and Model s', European Journal of Molecular & Clinical Medicine, 7(2), pp. 3702-32722.
Crop Value Forecasting using Decision Tree Regressor and Model s. European Journal of Molecular & Clinical Medicine, 2020; 7(2): 3702-32722.
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