Unsupervised Fertigation and Machine Learning for Crop Vegetation Parameter Analysis
This study proposes an IoT-based smart irrigation management system that can optimize water-resource utilization in a smart agricultural system. The system uses unsupervised learning-based clustering to predict the irrigation needs of a field based on the ground parameters sensed by automated monito...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Auricle Global Society of Education and Research
2023
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/38907/1/Unsupervised%20Fertigation%20and%20Machine%20Learning%20for%20Crop%20Vegetation%20Parameter%20Analysis.pdf http://umpir.ump.edu.my/id/eprint/38907/ https://www.ijisae.org/index.php/IJISAE/article/view/3183 |
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