Artificial Intelligence and Machine Learning in Rice Research-Reference-Cited by-同舟云学术

Artificial Intelligence and Machine Learning in Rice Research

Published:2021 Issue: Volume: Page:239-275
ISSN:
Container-title:Applications of Bioinformatics in Rice Research
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Author:

Donde Ravindra,Gouda Gayatri,Sabarinathan S.,Gupta Manoj Kumar,Dash Goutam Kumar,Rajesh N.,Dash Sushanta Kumar,Sahoo Khirod Kumar,Sanghamitra Priyadarsini,Parameswaran C.,Vadde Ramakrishna,Behera Lambodar

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3997-5_12

Reference235 articles.

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3. Suzuki N, Rivero RM, Shulaev V, Blumwald E, Mittler R. Abiotic and biotic stress combinations. New Phytol. 2014;203:32–43.

4. Timsina J, Connor DJ. Productivity and management of rice–wheat cropping systems: issues and challenges. Field Crop Res. 2001;69:93–132.

5. Petersen PE. The World Oral Health Report 2003: continuous improvement of oral health in the 21st century–the approach of the WHO Global Oral Health Programme. Community Dent Oral Epidemiol. 2003;31:3–24.

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