A phenomic approach of bamboo species identification using deep learning

Wang, Ziwei; Li, Jing; Yue, Xianghua; Yi, Wukun; Wang, Hankun; Chen, Hong; Tian, Genlin

doi:10.21203/rs.3.rs-1644335/v1

Cited by 2 publications

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“….33 ± 3.333%) (F(1,11) � 17.40; p < 0.001). Te proportion of silt also varied considerably across the sites (F (1,11) � 8.15; p < 0.001), where Gede had the lowest proportion (5 ± 1%) whereas Muguga had the highest (40 ± 1.265) (Table…”

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confidence: 93%

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Species-Site Suitability Assessment of Bamboo and Its Detailed Study in Different Agroecological Zones of Kenya

Lohani,

Sigu,

Oduor

et al. 2023

International Journal of Forestry Research

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The site suitability assessment of Bamboo in Kenya was studied for diverse agroecological zones (AEZs) comprising one indigenous and fifteen exotic bamboo species in nine different AEZs of Kenya. Three bamboo clumps from each species that were at least five years old were assessed to accurately capture data on growth performance and yield. Soil samples collected at 0–30 cm depth from different areas varied considerably. The proportion of soil varied across the bamboo planting sites (F(1,11) = 24.94; p < 0.001), soil pH in the planting sites varied significantly (F(1,11) = 13.92; p < 0.001), and soil bulk densities had different results (F(1,11) = 13.92; p < 0.001). The lowest bulk density (0.61 ± 0.01) was recorded in Kakamega (UM1), while the highest (1.63 ± 0.01) was reported in Gede. Data on characteristics of clumps and internode length and wall thickness integrated through GenStat statistical software using ANOVA entail a huge variation in growth performance for each bamboo species across planting sites. Morphological characters were also studied in detail. The mean height, diameter, and stocking density were comparatively lower even in elevated zones that were only 200 m below its natural range. This resulted in an extremely low yield, which is not viable for economic investment. The species is unsuitable for plantation establishment outside its natural range of 2300 m–3200 m above the sea level (a.s.l.). Plantation below this range will not dissipate but will not attain a healthy growth. The primary use will be restricted for ornamental and conservation purposes such as scaffolding, roof construction, and fabrication of basic household furniture.

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confidence: 93%

“…Bamboo is an imperishable product that belongs to the lawn family. It is popularly known as "the poor man's timber," denoting its fashionability among poor populations as a cover for precious wood from trees [1]. Tere are more than 1,600 species of bamboo comprising 75-107 subfamilies growing across the world [2][3][4].…”

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confidence: 99%

Species-Site Suitability Assessment of Bamboo and Its Detailed Study in Different Agroecological Zones of Kenya

Lohani,

Sigu,

Oduor

et al. 2023

International Journal of Forestry Research

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Radial distribution of vascular bundle morphology in Chinese bamboos: machine learning methodology for rapid sampling and classification

Li,

Xu,

Zhang

et al. 2023

Holzforschung

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Variation in anatomical features of the culm wall namely the shape and size distributions of vascular bundles between different genera and species of bamboo is not well understood due to the cumbersome task of manual measurements. Using machine learning methodology, this work presents a universal vascular bundle detection model for rapid, reliable, and automatic characterization of vascular bundles in culm cross sections of 213 species across 23 genera of Chinese bamboos. The number of vascular bundles and the fiber sheath area have positive linear correlations with the outer circumference and the wall thickness, respectively. The distribution density of vascular bundles has a decay exponential correlation with the outer circumference and the wall thickness. The average fiber volume fraction was 35.2 % ± 7 % with relatively small variation between species. Bamboo species could be grouped into three categories based the endodermis to epidermis distribution pattern of radial and tangential length of vascular bundles, two categories of radial-to-tangential ratio and four categories of fiber sheath area distribution pattern. Implications on bamboo classification, structural and pulp/paper applications were discussed. The findings from this study provide groundwork for the establishment of a unified, authoritative and objective bamboo classification system based on the vascular tissue morphology.

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A phenomic approach of bamboo species identification using deep learning

Cited by 2 publications

References 0 publications

Species-Site Suitability Assessment of Bamboo and Its Detailed Study in Different Agroecological Zones of Kenya

Species-Site Suitability Assessment of Bamboo and Its Detailed Study in Different Agroecological Zones of Kenya

Radial distribution of vascular bundle morphology in Chinese bamboos: machine learning methodology for rapid sampling and classification

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