外文摘要：Understanding the diverse environmental influences on seedling growth is critical for maximizing yields. The need for a more comprehensive understanding of how various environmental factors affect seedling growth is required. Integrating sensor data and image processing techniques offers a promising approach to accurately detect stress symptoms and uncover hidden patterns, enhancing the comprehension of seedling responses to environmental factors. The objective of this study was to quantify environmental stress symptoms for six seedling varieties using image-extracted feature characteristics. Three sensors were used: an RGB camera for color, shape, and size information; a thermal camera for measuring canopy temperature; and a depth camera for providing seedling height from the image-extracted features. Six seedling varieties were grown under controlled conditions, with variations in temperature, light intensity, nutrients, and water supply, while daily automated imaging was conducted for two weeks. Key seedling features, including leaf area, leaf color, seedling height, and canopy temperature, were derived through image processing techniques. These features were then employed to quantify stress symptoms for each seedling type. The analysis of stress effects on the six seedling varieties revealed distinct responses to environmental stressors. Integration of color, size, and shape parameters established a visual hierarchy: pepper and pak choi seedlings showed a good response, cucumber seedlings showed a milder response, and lettuce and tomato seedlings displayed an intermediate response. Pepper and tomato seedlings exhibited a wide range of growth stress symptoms, at 13.00% to 83.33% and 2.96% to 70.01%, respectively, indicating considerable variability in their reactions to environmental stressors. The suggested classification approach provides valuable groundwork for advancing stress monitoring and enabling growers to optimize environmental conditions.
外文关键词：image processing;Seedling growth;sensor fusion;smart horticulture;plant growth stress
作者：Reza, Md Nasim;Samsuzzaman;Ahmed, Shahriar;Chung, Sun-Ok;Islam, Sumaiya;Cho, Yeon Jin;Noh, Dong Hee
作者单位：Chungnam Natl Univ;Jeonnam Agr Res Extens Serv;Korea Elect Technol Inst KETI
期刊名称：HORTICULTURAE
期刊影响因子：0.0
出版年份：2024
出版刊次：10（2）
原文传递申请：江苏省科技资源（工程技术文献）统筹服务平台