Prediction of Accuracy and Performance of Crop Production by Using Machine Learning Algorithm

Author:

Yadav Ramashankar,Singh Pawan Kumar,Sikandar Ajay,Tyagi Manoj Kumar,Yadav Dinesh Kumar

Publisher

Springer Nature Singapore

Reference9 articles.

1. Ghosh S, Koley S (2014) Machine learning for soil fertility and plant nutrient management using back propagation neural networks. Int J Recent Innov Trends Comput Commun 2(2):292–297

2. Bondre DA, Mahagaonkar S (2019) Prediction of crop yield and fertilizer recommendation using machine learning algorithms. Int J Eng Appl Sci Technol 4(5):371–376

3. Paul M, Vishwakarma SK, Verma A (2015) Analysis of soil behaviour and prediction of crop yield using data mining approach. In: 2015 International conference on computational intelligence and communication networks (CICN). IEEE, pp 766–771

4. Manjula E, Djodiltachoumy S (2017) Data mining technique to analyze soil nutrients based on hybrid classification. Int J Adv Res Comput Sci 8(8)

5. Rajak RK, Pawar A, Pendke M, Shinde P, Rathod S, Devare A (2017) Crop recommendation system to maximize crop yield using machine learning technique. Int Res J Eng Technol 4(12):950–953

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