RGB颜色模型
青贮饲料
同质性(统计学)
图像处理
数学
环境科学
计算机科学
人工智能
计算机视觉
农学
生物
统计
图像(数学)
作者
E. A. Nikitin,D. Yu. Pavkin,Andrey Yu. Izmailov,Alexander Aksenov
出处
期刊:Applied sciences
[Multidisciplinary Digital Publishing Institute]
日期:2022-03-22
卷期号:12 (7): 3230-3230
被引量:7
摘要
The article examines existing methods for assessing the homogeneity of feed mixes in the feed industry and agriculture. As an alternative to existing approaches, the authors offer a low-cost online technology to assess the homogeneity of feed. The feedstuff under study includes feed mixes for cattle or compound feed consisting of naturally-grown feed (green mass of freshly cut grass, haylage, corn silage, etc.) and concentrated components (grain milling, sunflower, and soybean meal). The proposed method based on an RGB camera, a diode lamp, filters, and software is approved by a preliminary study of the physical properties of feed mix components by Specim IQ hyperspectral camera and revealing characteristics of light absorption of each type of components (concentrated/natural origin). The article presents a method of processing a feed mix image fixed by an RGB camera through light filters using Matlab Image Processing Toolbox tools, namely, a Color Thresholder app and Image Region Analyzer app.
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