基于细胞数字特征的板材材种识别技术

木材识别是合理利用木材最基本的前提。为了解决人工鉴定失误率高的问题,本文提出基于细胞数学描述理论的板材识别方法,采用木材端面细胞的显微数字图像,利用板材材种的数学仿真技术、图像处理技术、数据库管理和系统辨识方法,提取细胞轮廓形态和尺寸等参数建立基准细胞和材种识别数字化参数库。减少传统的依赖图像像素特征识别比较方法的不确定性,创新材种识别的数字化理论体系,推动板材材种识别的实用化。     

对住宅建设的一点看法

本文着重从几个方面论述住宅建设今后的发展方向。使住宅总体规划合理,经济适用,住宅建设与环境协调,达到可持续发展原则的绿色住宅和生态住宅区。     

林分平均胸径100倍圆法测定每公顷断面积的理论初探(之二)--误差分析与修正系数

通过对100Dg圆公式含义的分析,对影响林分断面积精度的2个主要因子:样地株数密度与林分平均胸径估测值进行了误差分析与探讨,提出了样地株数密度估计林分株数密度采用典型选样,林分平均胸径估测值采用目测法等相应解决办法。其中,当目测值有偏差时采用修正系数可使100Dg圆的可靠性进行了理论上的探讨。     

柳树愈伤组织形态和细胞学观察

以柳树叶片为材料,接种在诱导培养基上诱导愈伤组织发生,采用石蜡切片法对愈伤组织的内部细胞结构进行观察。结果表明,叶片组织脱分化的起始部位在微管束鞘;胚性细胞多发生在所形成的愈伤组织的表层或近表层,和非胚性细胞在形态和细胞学上有很大差别,胚性细胞核大、质浓,与周围细胞存在生理隔离;多细胞原胚以平周分裂为主,并由此表现出有序生长;胚性细胞内含有丰富的淀粉粒,随细胞的分裂和分化逐渐减少;愈伤组织有根产生。     

Prediction of bending properties for structural glulam using optimized distributions of knot characteristics and laminar MOE

This study established a prediction model for bending properties of glued-laminated timber (glulam) using optimized knot and modulus of elasticity (MOE) distributions of lumber laminate as the main input variables. For this purpose, knot and MOE data were investigated for all pieces of lumber that were prepared for glulam manufacturing, and statistical distributions of knot size, knot number in one lumber, and MOE of each laminate were optimized as distribution functions. These knot and MOE data were used as input variables in the prediction model for bending properties, and were also used in generating virtual glulam using the inverse transform method. Prediction of bending properties for glulam was carried out using the transformed section method, which is partially provided in ASTM D 3737 (Annex A4). Predicted values were compared with those from full-scale four-point bending tests for 60 six-layered glulams with 10 different laminar combinations. Finally, the allowable bending properties of glulam for each specific laminate combination were determined by calculating the fifth percentile of the modulus of rupture and the average modulus of elasticity from virtual test results of more than 1000 virtual glulams. From the results of this study, predicted bending properties for glulam and their distributions could be used for structural design in both allowable stress design and limit state design.     

Crown characteristics of juvenile loblolly pine 6 years after application of thinning and fertilization

Total foliage dry mass and leaf area at the canopy hierarchical level of needle, shoot, branch and crown were measured in 48 trees harvested from a 14-year-old loblolly pine (Pinus taeda L.) plantation, six growing seasons after thinning and fertilization treatments.

In the unthinned treatment, upper crown needles were heavier and had more leaf area than lower crown needles. Branch- and crown-level leaf area of the thinned trees increased 91 and 109%, respectively, and whole-crown foliage biomass doubled. The increased crown leaf area was a result of more live branches and foliated shoots and larger branch sizes in the thinned treatment. Branch leaf area increased with increasing crown depth from the top to the mid-crown and decreased towards the base of the crown. Thinning stimulated foliage growth chiefly in the lower crown. At the same crown depth in the lower crown, branch leaf area was greater in the thinned treatment than in the unthinned treatment. Maximum leaf area per branch was located nearly 3–4 m below the top of the crown in the unthinned treatment and 4–5 m in the thinned treatment. Leaf area of the thinned-treatment trees increased 70% in the upper crown and 130% in the lower crown. Fertilization enhanced needle size and leaf area in the upper crown, but had no effect on leaf area and other variables at the shoot, branch and crown level. We conclude that the thinning-induced increase in light penetration within the canopy leads to increased branch size and crown leaf area. However, the branch and crown attributes have little response to fertilization and its interaction with thinning.     

AgNO3处理下银杏幼胚愈伤组织的形成和激素变化

采用石蜡切片技术和酶联免疫吸附法(ELISA),以银杏幼胚为外植体,添加0,1和5 mg/L AgNO3作处理,观察21 d内愈伤组织的形成过程,测定内源激素吲哚乙酸(IAA)、保幼激素类似物(ZR)、赤霉素(GA)和脱落酸(ABA)的变化,分析AgNO3对银杏幼胚愈伤组织分化潜能的影响。结果表明:根据解剖结构愈伤形成可分为4个阶段。第1阶段(0~7 d),IAA升高,ABA降低,表皮细胞启动脱分化。第2阶段(≥7~11 d),4种激素浓度均升高,愈伤组织和细胞团初步形成。第3阶段(≥11~16 d),GA、ABA大幅降低,细胞团大量形成。第4阶段(≥16~21 d),ABA骤降、GA迅速上升,愈伤组织和细胞团增殖。1 mg/L AgNO3处理下分生细胞团种类最多,其次为5mg/L处理,0 mg/L处理最少。研究认为,银杏幼胚愈伤组织具有较强的分化潜能,AgNO3能影响其内源激素的平衡,调控分化方向。     

基于语义分割与实例分割的玉米茎秆截面参数测量方法

茎秆微观结构与其力学性能密切相关,影响作物的抗倒伏性能。但作物茎秆微观表型参数难以通过人工方式获取,因此急需自动化的测量方法。本研究以玉米为材料,通过光学显微镜获得玉米茎秆横截面切片图像,基于深度学习架构融合ResNet和Unet构建语义分割Res-Unet网络模型,对截面表皮、周皮和髓区3个功能区域进行分割;针对维管束数量多、面积小、密度大的特点,以EfficientDet作为基础网络架构,根据维管束尺寸小的特性,减少双向特征图金字塔(BiFPN)的层数,达到提高推理速度、减少显存占用量的目的,同时添加掩膜分割分支,构造新的网络Eiff-BiFPN实现对维管束的分割。实验结果表明,功能区域分割的平均DICE达到88.17%;维管束分割的AP₅₀和AP_50:70分别达到88.78%和72.80%。根据分割结果,可以获得玉米茎秆截面尺寸、各功能区域尺寸和维管束数量、面积等微观结构参数。本文方法具有精确性、实时性和可用性,可用于玉米茎秆微观结构参数的自动化测定,为作物抗倒伏研究提供技术基础。     

基于GIS的云南高黎贡山南段景观变化特征分析

以高黎贡山1974年MSS遥感影像、1987和1997年TM遥感影像和2006年IRS遥感影像以及地形图等相关资料为基础数据,在GIS技术支持下,结合景观生态学原理,从景观格局、森林景观动态变化特征方面对云南高黎贡山南段进行了研究。结果显示,研究区景观的破碎程度随时间推移而增大,景观异质性程度降低,土地利用逐渐趋于单一化,土地的开发程度增加,人类对景观的干扰程度加强;各类森林景观交错镶嵌,分布活跃且形状复杂,分化程度高,具有较高的森林景观异质性和丰富的景观多样性。