Agriculture Yield Forecasting via Regression and Deep Learning with Machine Learning Techniques
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2079-8_18
Reference20 articles.
1. Kumar CMS et al (2023) Solar energy: a promising renewable source for meeting energy demand in Indian agriculture applications. 55:102905
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3. Baragde DB, Jadhav AU (2021) Impact of COVID-19 on Indian SMEs and survival strategies. In: Handbook of research on strategies and interventions to mitigate COVID-19 impact on SMEs. IGI Global, pp 280–298
4. Martos V et al (2021) Ensuring agricultural sustainability through remote sensing in the era of agriculture 5.0. 11(13):5911
5. Goel RK et al (2021) Smart agriculture–urgent need of the day in developing countries. 30:100512
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