棕榈藤材缺陷和分级

文中论述了棕榈藤各种藤材存在的主要缺陷，并计论了藤材的分级标准和工业用藤的规范。棕榈藤材的缺陷包括基因缺陷、环境缺陷、生物缺陷和机械缺陷等。棕榈藤材的定级基于不同阶段，分级的基本依据是藤茎直径、长度、颜色、硬度、缺陷、节间长度以及直径全长均匀性等。工业用藤的规范涉及：表观特性、物理力学特性、机械加工特性和涂饰性等。统一的缺陷术语、贸易名称和标准规范是良好贸易的基准。     

数学形态学在木材表面缺陷图像分割后处理中的应用

介绍了数学形态学的基本思想和运算。针对木材表面缺陷图像分割效果不完善的问题,提出基于数学形态学的图像后处理方法,包括应用数学形态学的填充操作、形态滤波以及形态梯度边缘检测等。经实验验证,应用数学形态学进行图像后处理,增强了木材缺陷图像分割结果的可视性和准确性。     

青檀耐荫性的初步研究

在连续３年测定比较几个不同树种的生理特性和树冠结构的基础上，本文对青檀的耐荫性进行了初步分析，结果表明，青檀的耐荫性随年龄的增大而降低，１２年生以前，青檀是耐荫的；１３至２５年生之间，青檀是喜光树种；２６年生以后青檀则逐渐变为阳性树种。比较的结果还表明，青檀的耐荫性较马尾松强，较杉木弱，从总体看属中偏阳树种。     

田间和盆栽核桃与柿子苗木光合特性的初步研究

研究了核桃(Juglans regia L.)、柿子(Diospyros kaki L.f.)两种苗木在田间和盆栽栽培条件下的光合特性。通过室内人工控制光强和CO2浓度,测得盆栽的核桃、柿子的光补偿点分别是62 μmol CO2/m2·s、40μmol CO2/ m2·s;饱和点分别是1 582 μmol CO2/m2·s、1 064 μmol CO2/m2·s;CO2补偿点分别是135 ml/L、230 ml/L。6月的晴天,核桃、柿子盆栽栽培中的净光和速率日变化呈"双峰"型;田问栽培中仅出现1次高峰。两种栽培均出现"午休"现象。     

Geographic Information System‐Based Analysis of the Spatial and Spatio‐Temporal Distribution of Zoonotic Cutaneous Leishmaniasis in Golestan Province,North‐East of Iran

Zoonotic cutaneous leishmaniasis (ZCL), a vector‐borne disease, poses serious psychological as well as social and economic burden to many rural areas of Iran. The main objectives of this study were to analyse yearly spatial distribution and the possible spatial and spatio‐temporal clusters of the disease to better understand spatio‐temporal epidemiological aspects of ZCL in rural areas of an endemic province, located in north‐east of Iran. Cross‐sectional survey was performed on 2983 recorded cases during the period of 2010–2012 at village level throughout the study area. Global clustering methods including the average nearest‐neighbour distance, Moran's I, general G indices and Ripley's K‐function were applied to investigate the annual spatial distribution of the existing point patterns. Presence of spatial and spatio‐temporal clusters was investigated using the spatial and space–time scan statistics. For each year, semivariogram analysis and all global clustering methods indicated meaningful persistent spatial autocorrelation and highly clustered distribution of ZCL, respectively. Eight significant spatial clusters, mainly located in north and northeast of the province, and one space–time cluster, observed in northern part of the province and during the period of September 2010–November 2010, were detected. Comparison of the location of ZCL clusters with environmental conditions of the study area showed that 97.8% of cases in clusters were located at low altitudes below 725 m above sea level with predominantly arid and semi‐arid climates and poor socio‐economic conditions. The identified clusters highlight high‐risk areas requiring special plans and resources for more close monitoring and control of the disease.     

基于无人机多光谱影像和关键点检测的雪茄烟株数提取

为从无人机遥感影像中准确识别烟草,实现植株定位与计数,以雪茄烟草植株为研究对象,提出一种新的深度学习模型。区别于传统的利用检测框识别目标,本文模型利用少量的关键点学习烟草中心形态学特征,并采用轻量级的编、解码器从无人机遥感影像快速识别烟草并定位计数。首先,提出的模型针对烟草植物形态学特点,通过中心关键点标注的方法,使用高斯函数生成概率密度图,引入更多监督信息。其次,对比不同主干网络在模型中的效果,ResNet18作为主干网络时平均精度大于99.5%,精度和置信度都高于测试的其他主干网络。而MobileNetV2在CPU环境下达到运行效率最优,但平均置信度相对较低。使用损失函数Focal Loss与MSE Loss结合的Union Loss时,平均精度大于99.5%。最后,利用不同波段组合作为训练数据,对比结果发现使用红边波段更有助于模型快速收敛且能够很好地区分烟草和杂草。由于红边波段与植株冠层结构相关,使用红边、红、绿波段时平均精度达到99.6%。本文提出的深度学习模型能够准确地检测无人机遥感影像中的烟草,可为烟草的农情监测提供数据支持。     

辽宁省大豆田杂草发生与危害

采用倒置"W"九点取样法调查辽宁省大豆田杂草,明确了辽宁省大豆田杂草有19科35种,其中阔叶杂草占74.29%,禾本科杂草占14.29%,其他杂草占25.71%;一年生杂草占54.29%,多年生杂草占31.43%。相对多度达10%以上的杂草依次为藜、鸭跖草、稗草、苘麻、反枝苋、红蓼、马唐、铁苋菜、马齿苋和山苦菜。其中藜和鸭跖草相对多度在30%以上,为辽宁省大豆田杂草优势种群。     

建立四川盆地水土保持监测“零”基准面(点)的探讨

从认知水土流失“零”基准面的理论出发,在大范围的地理尺度及大的时间跨度层面上,根据岩层及土壤在外力（水力、重力、风力等）作用下的自然规律,即高势能向低势能的迁移表现,提出建立最低的水土保持监测基准面（点）,扩大水保法调整的范围,从而减少近期和长期的水土流失趋势。