Monitoring of plant growth through methods of phenotyping and image analysis

Nezha Kharraz; István Szabó

doi:10.18380/SZIE.COLUM.2023.10.1.49

Authors

Nezha Kharraz Doctoral School of Mechanical Engineering – Hungarian University of Agriculture and Life Sciences, 2100 Gödöllő, Páter Károly u. 1., Hungary
István Szabó Institute of Mechanical Engineering - Hungarian University of Agriculture and Life Sciences, 2100 Gödöllő, Páter Károly u. 1., Hungary

DOI:

https://doi.org/10.18380/SZIE.COLUM.2023.10.1.49

Keywords:

phenotyping, image-analysis, plants’ growth, agricultural

Abstract

With the rapid development of imaging technology, computing power, and algorithms, computer vision has revolutionized thoroughly plant phenotyping and is now a major tool for phenotypic analysis. Those reasons constructed the base for developing image-based plant phenotyping methods, it is a priority for the complementary or even alternative to the manual measurement. Nonetheless, the use of computer vision technology to analyze plant phenotypic traits can be affected by a lot of factors such as research environment, imaging system, and model selection. The field of plant phenotyping is developing rapidly at the moment. Image-based plant phenotyping has stated proven to be in precision agriculture, providing a quantitative basis for the description of plant-environment interactions.

Author Biography

Nezha Kharraz, Doctoral School of Mechanical Engineering – Hungarian University of Agriculture and Life Sciences, 2100 Gödöllő, Páter Károly u. 1., Hungary

corresponding author
Nezha.Kharraz@phd.uni-mate.hu

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