Internet of Things-Enabled Irrigation Management System for Precision Agriculture
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0341-8_12
Reference29 articles.
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3. Bellido-Jiménez JA, Estévez J, García-Marín AP (2021) New machine learning approaches to improve reference evapotranspiration estimates using intra-daily temperature-based variables in a semi-arid region of Spain. Agric Water Manag 245:1–16
4. Bwambale E, Abagale FK, Anornu GK (2022) Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: a review. Agric Water Manag 260:1–12
5. Carpenter N, Ma D, Maki H, Rehman UT, Tuinstra RM, Jin J (2019) Greenhouse environment modeling and simulation for microclimate control. Comput Electron Agric 162:134–142. https://doi.org/10.1016/j.compag.2019.04.013
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