Estimation of Soybean Seeds Weight Using Image Processing

Year 2023, , 511 - 515, 01.09.2023

Hayrettin Karadöl , Hamza Kuzu , Mualla Keten

https://doi.org/10.47115/bsagriculture.1324253

Abstract

Today, image processing techniques are frequently used in irrigation, fertilization and spraying applications in order to increase agricultural input efficiency and product quality. In this study, the relationship between the image and weight of soybeans was investigated. For this purpose, some image processing applications were carried out on the images of soybeans grown with the deficit irrigation (100%, 75, 50 and 25) method. In the study, the relationship between the weight of soybeans and the number of pixels occupied on the images was 88.78%. The weights belonging to the displayed soybean grains decreased from 100% watered to 50% watered, in the 25% irrigated area, it increased again. The 25% irrigated case created significant stress for soybeans. However, as in some plants, this situation caused an increase in grain weight in soybeans.

Keywords

Image processing, HSV color space, Soybean

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