Aquatic ecosystem-based water management in agriculture project by data analytics using classification by deep learning techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s11600-023-01104-6.pdf
Reference20 articles.
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3. Alibabaei K, Gaspar PD, Assunção E, Alirezazadeh S, Lima TM, Soares VNGJ, Caldeira JMLP (2022) Comparison of on-policy deep reinforcement learning A2C with off-policy DQN in irrigation optimization: a case study at a site in Portugal. Computers 11(7):104. https://doi.org/10.3390/computers11070104
4. Alshehri M, Kumar M, Bhardwaj A, Mishra S, Gyani J (2021) Deep learning based approach to classify saline particles in sea water. Water 13(9):1251
5. Dehghanisanij H, Emami H, Emami S, Rezaverdinejad V (2022) A hybrid machine learning approach for estimating the water-use efficiency and yield in agriculture. Sci Rep 12(1):1–16
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