Collating Weather Data and Grocery Cost Using Machine Learning Techniques

Author:

Sridevi S.,Hemalatha K.,Gowthami S.

Publisher

Springer Nature Switzerland

Reference13 articles.

1. Brunda, S., Nimish, L., Chiranthan, S., Khan, A.: Crop price prediction using random forest and decision tree regression. Int. Res. J. Eng. Technol. (IRJET) 7(9), 235–237 (2020)

2. Luo, C., Wei, Q., Zhou, L.: Prediction of vegetable price based on neural network and genetic algorithm. IFIP AICT 7, 672–681 (2011). Pandey, I., Sathish Kumar Reddy, M., Dharani Vamsidhar Reddy, M., Krishna Babu, K.: Machine learning based future priced prediction of the products. Int. Res. J. Eng. Technol. (IRJET), 8(4), 865–871 (2021)

3. Keerthana, P.S., Keerthika, B., Shalini, R.: Prediction of vegetable cost based on weather condition using FRNN. Int. Res. J. Eng. Technol. (IRJET) 7(3), 1608–1612 (2020)

4. Rachana, P.S., Rashmi, G., Shravani, D., Shruthi, N.: Crop yield prediction using machine learning approaches. Int. Res. J. Eng. Technol. (IRJET) 6, 4805–4807 (2020)

5. Dhanapal, R., AjanRaj, A., Balavinayagapragathish, S., Balaji, J.: Crop price prediction using supervised machine learning algorithms. J. Softw. Eng. Simulat. 6(1), 14–20 (2021)

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