dc.contributor.author |
Nirmala, M.S. |
|
dc.date.accessioned |
2024-12-12T06:06:50Z |
|
dc.date.available |
2024-12-12T06:06:50Z |
|
dc.date.issued |
2024 |
|
dc.identifier.citation |
Thesis - Master of Computer Science |
en_US |
dc.identifier.uri |
http://archive.cmb.ac.lk:8080/xmlui/handle/70130/7475 |
|
dc.description.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) ... |
en_US |
dc.language.iso |
en_US |
en_US |
dc.subject |
IoT (Internet of Things) |
en_US |
dc.subject |
Machine Learning |
en_US |
dc.subject |
Pest Management |
en_US |
dc.subject |
Greenhouses |
en_US |
dc.subject |
Precision Agriculture |
en_US |
dc.subject |
Smart Farming |
en_US |
dc.subject |
Sensor Networks |
en_US |
dc.subject |
Data-Driven Decision Making |
en_US |
dc.subject |
Crop Protection |
en_US |
dc.subject |
Real-Time Monitoring |
en_US |
dc.subject |
Environmental Sensors |
en_US |
dc.subject |
Predictive Analytics |
en_US |
dc.subject |
Automated Pest Detection |
en_US |
dc.subject |
Sustainable Agriculture |
en_US |
dc.subject |
Smart Greenhouse Systems |
en_US |
dc.subject |
Integrated Pest Management (IPM) |
en_US |
dc.subject |
Climate Control Systems |
en_US |
dc.subject |
Energy-Efficient Pest Control |
en_US |
dc.subject |
Agricultural IoT Devices |
en_US |
dc.subject |
Computer Vision for Pest Detection |
en_US |
dc.title |
Integrating IoT and Machine Learning for Efficient Pest Management in Greenhouses |
en_US |
dc.type |
Thesis |
en_US |