Optimization of Operational Parameters of Site-specific Pesticide Spray Module for Young Pomegranate Orchards using RSM and RBFNN-PSO Techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Mechanical Engineering,Engineering (miscellaneous),Agricultural and Biological Sciences (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s42853-023-00185-x.pdf
Reference35 articles.
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2. Ahmad, F., Qiu, B., Dong, X., Ma, J., Huang, X., Ahmed, S., & Chandio, F. A. (2020). Effect of operational parameters of UAV sprayer on spray deposition pattern in target and off-target zones during outer field weed control application. Computers and Electronics in Agriculture, 172, 105350. https://doi.org/10.1016/j.compag.2020.105350
3. Alheidary, M. H. R. (2018). Effect of the operating pressure and nozzle height on dropletproperties using knapsack sprayer. Iraqi Journal of Agricultural Sciences, 49(3), 360–366.
4. Amar, M. N., Ghriga, M. A., Seghier, M. E., & Ouaer, H. (2021). Predicting solubility of nitrous oxide in ionic liquids using machine learning techniques and gene expression programming. Journal of the Taiwan Institute of Chemical Engineers, 128, 156–168. https://doi.org/10.1016/j.jtice.2021.08.042
5. Asaei, H., Jafari, A., & Loghavi, M. (2019). Site-specific orchard sprayer equipped with machine vision for chemical usage management. Computers and Electronics in Agriculture, 162, 431–439. https://doi.org/10.1016/j.compag.2019.04.040
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