Please use this identifier to cite or link to this item:
http://archive.cmb.ac.lk:8080/xmlui/handle/70130/7475| Title: | Integrating IoT and Machine Learning for Efficient Pest Management in Greenhouses |
| Authors: | Nirmala, M.S. |
| Keywords: | IoT (Internet of Things) Machine Learning Pest Management Greenhouses Precision Agriculture Smart Farming Sensor Networks Data-Driven Decision Making Crop Protection Real-Time Monitoring Environmental Sensors Predictive Analytics Automated Pest Detection Sustainable Agriculture Smart Greenhouse Systems Integrated Pest Management (IPM) Climate Control Systems Energy-Efficient Pest Control Agricultural IoT Devices Computer Vision for Pest Detection |
| Issue Date: | 2024 |
| Citation: | Thesis - Master of Computer Science |
| Abstract: | This thesis proposes a novel design for a pest management system that increases agricultural productivity by integrating Internet of Things (IoT) technologies and Machine Learning (ML) ... |
| URI: | http://archive.cmb.ac.lk:8080/xmlui/handle/70130/7475 |
| Appears in Collections: | Masters Theses - University of Colombo School of Computing |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| UCSC - Master Theses.pdf | 1.23 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.