The effect of drought stress of sorghum grains on the textural features evaluated using machine learning

Ewa Ropelewska,Leyla Nazari

doi:10.1007/s00217-021-03832-9

Abstract

This study aimed to determine the discriminatory power of textural features to differentiate the sorghum grains subjected to normal, mild deficit, and severe deficit irrigation. The studies were carried out with the use of image processing, discrimination analysis, analysis of variance and cluster analysis using the selected texture parameters calculate for images from individual color channels L, a, b, R, G, B, U, V, S, X, Y and Z. The results indicated that different levels of irrigation can discriminate the sorghum grain with an accuracy of up to about 100%. Most of the genotypes for each level of irrigation were different in the terms of values of textural features and formed separate homogeneous groups. Drought is one of the limiting factors contributing to a decrease in sorghum grain productivity and nutritional quality, especially when it is cultivated in a marginal area. Therefore, low-quality grains produced under water stress should be recognized before they enter into the food and feed chain. The application of image analysis based on textures of sorghum grain images proved to be useful for the discrimination of sorghum grains subjected to drought stress. The applied procedure provided the fast, objective results that may be applied in practice for screening distinguishing the sorghum grains with different irrigation levels.

Highlights

Sorghum [Sorghum bicolor (L.) Moench] is the fifth most important cereal crop throughout the world after wheat, rice, maize, and barley cultivated as fodder crop or staple food in tropical and semi-tropical areas of Asia and Africa [1]
The results of the discriminant analysis revealed sorghum grain differentiation in terms of the textures of the outer surface of the images depending on the irrigation level
The classification accuracy of the investigated classifiers reached 100% in the case of genotype MGS2 for the Bayes Net and SMO classifiers. It means that the irrigation level had the greatest effect on the texture parameters of the grain of this sorghum genotype that resulted in a complete distinction between grains produced under different levels of irrigation

Summary

Introduction

Sorghum [Sorghum bicolor (L.) Moench] is the fifth most important cereal crop throughout the world after wheat, rice, maize, and barley cultivated as fodder crop or staple food in tropical and semi-tropical areas of Asia and Africa [1]. Fruit and Vegetable Storage and Processing Department, The. National Institute of Horticultural Research, Konstytucji 3. Crop and Horticultural Science Research Department, Fars. Agricultural and Natural Resources Research and Education. As sorghum is a C4 drought-tolerant crop, it is predominantly cultivated in those areas [9, 10], it has been proven that it responds positively to irrigation [1]. The reduction of grain quality and quantity under drought stress even in sorghum occurs at both pre- and post-anthesis growth stages [11, 12]. The negative impact of water stress on chemical parameters including protein, nitrogen-free extracts, sugar, crude fiber, and total ash has been reported [14, 15]

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