Smart farming prediction models for precision agriculture: a comprehensive survey
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-022-10266-6.pdf
Reference108 articles.
1. Abhinav S, Jain A, Gupta P, Chowdary V (2021) Machine learning applications for precision agriculture: a comprehensive review. IEEE Access 9:4843–4873. https://doi.org/10.1109/ACCESS.2020.3048415
2. Abioye EA, Abidin MSZ, Mahmud MSA, Buyamin S, AbdRahman MKI, Otuoze AO, Ramli MSA, Ijike OD (2021) IoT-based monitoring and data-driven modelling of drip irrigation system for mustard leaf cultivation experiment. Inf Process Agric 8(2):270–283. https://doi.org/10.1016/j.inpa.2020.05.004
3. Abraham G, Raksha R, Nithya M (2021) Smart agriculture based on IoT and machine learning. In: Proceedings of the fifth international conference on computing methodologies and communication (ICCMC 2021) IEEE xplore part number: CFP21K25-ART, 414–419.
4. Acar E, Ozerdem MS, Ustundag BB (2019) Machine learning based regression model for prediction of soil surface humidity over moderately vegetated fields. In: 2019 8th international conference on agro-geoinformatics, agro-geoinformatics 2019, vol 1, pp 1–4. https://doi.org/10.1109/Agro-Geoinformatics.2019.8820461
5. Achieng KO (2019) Modelling of soil moisture retention curve using machine learning techniques: artificial and deep neural networks vs support vector regression models. Comput Geosci 133:104320. https://doi.org/10.1016/j.cageo.2019.104320
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