2026/6/6
Mahdi Bikdeloo

Mahdi Bikdeloo

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0002-3048-1066
Education: PhD.
H-Index:
Faculty: Agriculture and Environment
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E-mail: m-bikdeloo [at] araku.ac.ir
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Research

Title
Non-destructive evaluation of selected indoor plants using multispectral imaging and NDVI under low light conditions
Type
Presentation
Keywords
Multispectral imaging, NDVI, Indoor plants, Non-destructive monitoring, Light stress
Year
2026
Researchers Saeed Nooriyan ، Behrooz Jelodarian Bidgoli ، Mahdi Bikdeloo

Abstract

This study was conducted to quantitatively evaluate the resistance of houseplants to low light conditions using non-destructive multispectral imaging technology and the Normalized Difference Vegetation Index (NDVI) in a completely randomized design with 6 treatments and 5 replications. In this regard, after selecting six different houseplants and placing them in the same and controlled light conditions, multispectral images were recorded with a camera equipped with dedicated optical filters. After processing the images, NDVI values were calculated as numerical values for each plant. By analyzing statistical tests, it was determined that there was a significant difference between plants in terms of NDVI values. Among them, Zamioculcas zamiifolia and Clivia miniata plants with the highest NDVI values showed the most resistance and Dieffenbachia seguine 'Variegata' showed the least tolerance to low light. In this study, the usefulness and efficiency of the multispectral imaging method and the NDVI index were introduced as a non-destructive, rapid, and reliable tool in monitoring and evaluating the resistance of houseplants to low light conditions. This method can be used as a scientific basis for selecting more resistant species in indoor green space design.