Estimation of Soybean Seeds Weight Using Image Processing

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Black Sea Journal of Agriculture
Volume:6 Issue:5
Estimation of Soybean Seeds Weight Using Image Processing

Estimation of Soybean Seeds Weight Using Image Processing

Authors : Hayrettin KARADÖL, Hamza KUZU, Mualla KETEN

Pages : 511-515

Doi:10.47115/bsagriculture.1324253

View : 58 | Download : 52

Publication Date : 2023-09-01

Article Type : Research Paper

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 insert ignore into journalissuearticles values(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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