Publication Type:

Conference Paper

Source:

Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019, Institute of Electrical and Electronics Engineers Inc., Melmaruvathur; India (2019)

ISBN:

9781538675953

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065564317&doi=10.1109%2fICCSP.2019.8698021&partnerID=40&md5=464cb07cd444b3959b49860c81e9cd99

Keywords:

Antennas, Complex networks, Computation theory, Farming practices, image analysis, Monitoring and analysis, Phenotyping, Plant growth, Plant interactions, Plant life cycles, Plant phenotyping, Unmanned aerial vehicles (UAV), Vision-based sensors

Abstract:

The process of plant growth monitoring and analysis changed its perspective from the way it was. The recent farming practices demand vision based sensors for monitoring and analyses of the plant growth characteristics from images acquired by satellites and Unmanned Aerial Vehicles (UAV's). The advanced plant phenotyping systems are equipped with digital cameras to report the plant growth on a daily basis. The time determined images from plant monitoring system require a better computational representation to understand and study the plant life cycle, plant to plant interaction and correlations between plants with-in the community. This paper presents a new and yet simple approach towards plant growth analysis and its correlations in community by applying the theory of complex network on visible images from a plant phenotyping system. The method is highly promising in the area of precision agriculture when we have large area to monitor. © 2019 IEEE.

Cite this Research Publication

Sajith Variyar V. V., Dr. E. A. Gopalakrishnan, Sowmya V., and Dr. Soman K. P., “A complex network approach for plant growth analysis using images”, in Proceedings of the 2019 IEEE International Conference on Communication and Signal Processing, ICCSP 2019, Melmaruvathur; India, 2019.