Predicting climate smart agriculture (CSA) practices using machine learning: A prime exploratory survey
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Published:2024-04
Issue:
Volume:34
Page:100484
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ISSN:2405-8807
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Container-title:Climate Services
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language:en
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Short-container-title:Climate Services
Author:
Noma FreddyORCID,
Babu Suresh
Reference39 articles.
1. Four reasons for concern about adaptation to climate change;Adger;Env. Plan A,2009
2. Amatulli, C., De Angelis, M., Sestino, A., & Guido, G. (2021). Omnichannel shopping experiences for fast fashion and luxury brands: An exploratory study. In Developing Successful Global Strategies for Marketing Luxury Brands (pp. 22–43). IGI Global, https:// doi. org/ 10. 4018/ 978-1- 7998- 5882-9.ch002.
3. Anupama, J., Meenu, D., Supriya, M. (2019). Comparison of Binary Class and Multi-Class Classifier Using Different Data Mining Classification Techniques. Proceedings of International Conference on Advancements in Computing & Management (ICACM) 2019, Available at SSRN: https://ssrn.com/abstract=3464211 or http://dx.doi.org/10.2139/ssrn.3464211.
4. Machine learning models and bankruptcy prediction;Barboza;Expert Syst. Appl.,2017
5. A study of the behavior of several methods for balancing machine learning training data;Batista;SIGKDD Explor. Newsl.,2004