Repository logo
Communities & Collections
Research Outputs
Fundings & Projects
People
Statistics
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. KMITL
  3. Publication
  4. Vegetation Health Monitoring System for Smart Farm using NDVI Analysis
Loading...
Thumbnail Image

Vegetation Health Monitoring System for Smart Farm using NDVI Analysis

Author(s)
Wisayataksin, Sumek
Junta, Nontaput
Kuanpreeyawat, Jirat
Date Issued
January 1, 2022
Type
Conference Paper
DOI
10.1109/ECTI-CON54298.2022.9795582
Abstract
We adapt the technique of normalized difference vegetation index (NDVI) to smart farms for monitoring the health of plants remotely over the IoT network. The system consists of a camera with 2 filters attached. The first one is an RGB filter to capture the visible light image, whereas another one is an infrared range filter. Two images are taken from a camera module and analyzed on Raspberry Pi 4 before being transmitted the NDVI image to the webserver for remote controlling and monitoring. The experimental results from actual plants reveal that our methodology can distinguish the healthy and unhealthy plants easily and efficiently.
Citation
19th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2022, 2022
Subjects

internet of things

NDVI camera

normalized difference...

smart farm monitoring...

Metrics
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your Institution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback