Forecasting Crop Yield with Machine Learning Techniques and Deep Neural Network

Author:

Chaitra B. G.,Sagar B. M.,Cauvery N. K.,Padmashree T.

Publisher

Springer Nature Switzerland

Reference15 articles.

1. Jadhav, A., Riswadkar, N., Jadhav, P., Gogawale, Y.: Crop recommendation system using machine learning algorithms. Int. Res. J. Eng. Technol. (IRJET), 09(04) (2022). ISSN 2395-0056

2. Prasad, N.R., Patel, N.R., Danodia, A.: Crop yield prediction in cotton for regional level using random forest approach. Spat. Inf. Res. 29(2), 195–206 (2020). https://doi.org/10.1007/s41324-020-00346-6

3. Dang, C., Liu, Y., Yue, H., Qian, J., Zhu, R.: Autumn crop yield prediction using data-driven approaches:-support vector machines, Random Forest, and deep neural network methods. Can. J. Remote. Sens. 47(2), 162–181 (2021)

4. Algorithms for Intelligent Systems;SA Shetty,2021

5. Suresh, G., Kumar, A.S., Lekashri, S., Manikandan, R.: Efficient crop yield recommendation system using machine learning for digital farming. Int. J. Mod. Agric. 10(1), 906–914 (2021)

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