Crop Prediction Using Artificial Neural Network and Support Vector Machine-Reference-Cited by-同舟云学术

Crop Prediction Using Artificial Neural Network and Support Vector Machine

Published:2019-09-25 Issue: Volume: Page:311-324
ISSN:2194-5357
Container-title:Data Management, Analytics and Innovation
language:
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Author:

Fegade Tanuja K.,Pawar B. V.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-9364-8_23

Reference20 articles.

1. Sellam, V., & Poovammal, E. (2016). Prediction of crop yield using regression analysis. Indian Journal of Science and Technology, 9(38), 1–5.

2. Hemageetha, N. (2016). A survey on application of data mining techniques to analyze the soil for agricultural purpose. In 3rd International Conference on Computing for Sustainable Global Development (INDIA-Com) (pp. 3112–3117).

3. Sujatha, R., & Isakki, P. (2016). A study on crop yield forecasting using classification techniques. In International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE) (pp. 1–4).

4. Ankalaki, S., Chandra, N., & Majumdar, J. (2016). Applying data mining approach and regression model to forecast annual yield of major crops in different district of Karnataka. International Journal of Advanced Research in Computer and Communication Engineering, 5(2), 25–29.

5. Gayatri, M. K., Jayasakthi, J., & Anandha Mala, G. S. (2015). Providing smart agricultural solutions to farmers for better yielding using IOT. In IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR) (pp. 40–43).

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