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Estimating cadmium concentration in the edible part of Capsicum annuum using hyperspectral models

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Abstract

Hyperspectral remote sensing can be applied to the rapid and nondestructive monitoring of heavy-metal pollution in crops. To realize the rapid and real-time detection of cadmium in the edible part (fruit) of Capsicum annuum, the leaf spectral reflectance of plants exposed to different levels of cadmium stress was measured using hyperspectral remote sensing during four growth stages. The spectral indices or bands sensitive to cadmium stress were determined by correlation analysis, and hyperspectral estimation models for predicting the cadmium content in the fruit of C. annuum during the mature growth stage were established. The models were cross validated by taking the sensitive spectral indices in the bud stage and the sensitive spectral bands in the flowering stage as the input variables. The results indicated that cadmium accumulated in the leaves and fruit of C. annuum and leaf cadmium content in the three early growth stages were correlated with the cadmium content of the pepper in the mature stage. Leaf spectral reflectance was sensitive to cadmium stress, and the first derivative of the original spectral reflectance was strongly correlated with leaf cadmium content during all growth stages. Among the established models, the multiple regression model based on the sensitive spectral bands in the flowering stage was optimal for predicting fruit cadmium content of the pepper. This model provides a promising method to ensure food safety during the early growth stage of the plant.

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Acknowledgements

The authors thank the anonymous reviewers for their constructive comments and suggestions.

Funding

This work was supported by grants from the International Sci-Tech Cooperation Project of Ministry of Science and Technology [grant number 2015DFA90900]; the Follow-up Work of Ecological Biodiversity Conservation Project in the Three Gorges Reservoir Area [grant number 5000002013BB5200002]; and the Fundamental Research Funds for the Central Universities [grant number XDJK2017D104].

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  1. Key Laboratory of Eco-environments in Three Gorges Reservoir Region (Ministry of Education), Chongqing Key Laboratory of Plant Ecology and Resources Research in Three Gorges Reservoir Region, School of Life Sciences, Southwest University, Chongqing, 400715, People’s Republic of China

    Ting Wang, Hong Wei, Cui Zhou, Yanwen Gu, Rui Li, Hongchun Chen & Wenchao Ma

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  1. Ting Wang
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  2. Hong Wei
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Correspondence to Hong Wei.

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Wang, T., Wei, H., Zhou, C. et al. Estimating cadmium concentration in the edible part of Capsicum annuum using hyperspectral models. Environ Monit Assess 189, 548 (2017). https://doi.org/10.1007/s10661-017-6261-3

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