Author:
Mamatha K.,Samantha Shantideepa,Prasad Kundan Kumar
Publisher
Springer Nature Singapore
Reference11 articles.
1. Gandhi N, Armstrong LJ, Petkar O, Tripathi A (2016) Rice crop yield prediction in India using support vector machines. In: 2016 13th international joint conference on computer science and software engineering (JCSSE)
2. Preethi G, Rathi Priya V, Sanjula SM, Lalitha SD, Vijaya Bindhu B (2020) Agro based crop and fertilizer recommendation system using machine learning. Eu J Mol Clin Med 7(4), ISSN: 2515–8260
3. Khanal B (2015) Correlation of climatic factors with cereal crops yield: a study from historical data of Morang District, Nepal. J Agric Environ 16
4. Raorane AA, Kulkarni RV (2013) Review—role of data mining in agriculture. (IJCSIT) Int J Comput Sci Inf Technol 4(2):270–272, ISSN: 0975-964
5. Doraiswamy PC, Moulin S, Cook PW, Stern A (2003) Crop yield assessment from remote sensing. Photogramm Eng Remote Sens 69(6):665–674
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