Combined use of optical and radar satellite data for the detection of tillage and irrigation operations: Case study in Central Morocco

The objective of this study is to present a new application of optical and radar remote sensing with high spatial (∼10 m) and temporal (a few days) resolutions for the detection of tillage and irrigation operations. The analysis was performed for irrigated wheat crops in the semi-arid Tensift/Marrakech plain (Central Morocco) using three FORMOSAT-2 images and two ASAR images acquired within one week at the beginning of the 2005/2006 agricultural season.The approach we developed uses simple mapping algorithms (band thresholding and decision tree) for the characterisation of soil surface states. The first images acquired by FORMOSAT and ASAR were processed to classify fields into three main categories: ploughed (in depth), prepared to be sown (harrowed), and not ploughed-not harrowed. This information was combined with a change detection analysis based on multitemporal images to identify harrowing and irrigation operations which occurred between two satellite observations.The performance of the algorithm was evaluated using data related to land use and agricultural practices collected on 124 fields. The analysis shows that drastic changes of surface states caused by ploughing or irrigation are detected without ambiguity (consistency index of 96%). This study provided evidence that optical and radar data contain complementary information for the detection of agricultural operations at the beginning of agricultural season. This information could be useful in regional decision support systems to refine crop calendars and to improve prediction of crop water needs over large areas.     

基于改进Hough变换的农田作物行快速检测算法

选取苗期农田作为研究对象,采集了包含行栽作物和土壤背景的农田图像,针对现有作物行定位方法易受外界干扰和处理速度较慢的不足,提出将投影法和直接Hough变换法相结合检测作物行的算法.采用2G-R-B 法和OTSU法将图像二值化,通过快速中值滤波算法去除噪声,再利用垂直直方图投影将图像进行水平条划分获取作物垄平均定位点,最后通过Hough变换检测垄定位点,得到作物行中心线.试验结果表明:基于垂直直方图投影的Hough变换检测作物行中心线的算法在保证高定位精度的同时,算法处理速度比直接Hough变换检测法提高了3倍,得到的定位基准线能代表作物行走向.     

采用施奈德重合器实现馈线自动化的实践研究

针对基于传统重合器的馈线自动化原理及存在问题,提出基于施奈德重合器的馈线自动化方案。以大连庄河炮台变电所石山线-龙王庙变电所水泥线为例,分析施奈德重合器的馈线自动化工作原理,指出该馈线自动化系统在实践中的优点和不足。     

Application of the rpoS gene for the detection of Vibrio anguillarum in flounder and prawn by polymerase chain reaction

Vibrio anguillarum , an opportunistic fish pathogen, is the main species responsible for vibriosis, a disease that affects feral and farmed fish and shellfish, and causes considerable economic losses in marine aquaculture. In this study, we used polymerase chain reaction (PCR) to detect V. anguillarum . PCR specificity was evaluated by amplifying the rpoS gene, a general stress regulator, in six strains of V. anguillarum and 36 other bacterial species. PCR amplified a species-specific fragment (689 bp) from V. anguillarum . Furthermore, the PCR assay was sensitive enough to detect rpoS expression from 3 pg of genomic DNA , or from six colony-forming units (CFU) mL⁻¹ of cultured V. anguillarum . However, the assay was less sensitive when genomic DNA from the infected flounder and prawn was used (limit of detection, 50 ng and 10 ng g⁻¹ tissue, respectively). These data demonstrate that PCR amplification of the rpoS gene is a sensitive and species-specific method to detect V. anguillarum in practical situations.     

S‐locus diversity and cross‐compatibility of wild Prunus avium for timber breeding

Prunus avium is primarily cultivated for its fruit, sweet cherries. However, it is also used to produce high‐quality timber. In a P. avium seed orchard, gametophytic self‐incompatibility is a restriction for free pollen flow and should be considered when establishing basic forest materials. In this study, S‐locus diversity and cross‐incompatibility of wild cherry individuals in clonal banks established for breeding for timber production were investigated. Wild cherry trees (140) with outstanding forest growth habit, collected in northern Spain, grafted and planted in two clonal banks, were genotyped at the S‐locus. The self‐incompatibility S‐locus genes, S‐RNase and SFB, were analysed by PCR. Twenty‐two S‐haplotypes, resulting in 72 different S‐genotypes, were identified. The genotypes were grouped into 33 incompatibility groups and 39 unique genotypes. This initial S‐locus analysis revealed large genetic diversity of wild cherry trees from the Spanish northern deciduous forest, and provides useful information for seed orchard design. Wild P. avium displays significantly more genetic diversity than what is detected in local cultivars, revealing a narrowing of genetic diversity during local domestication.     

Benefits and risks for Melanesian households from commercialising Canarium indicum

This research note discusses the benefits and risks for Melanesian households arising from attempts to increasingly commercialise Canarium indicum, an edible tree nut indigenous to Papua New Guinea, the Solomon Islands and Vanuatu. Qualitative data were generated during workshops and interviews with Canarium industry stakeholders about the impacts associated with a series of interventions designed to encourage further commercialisation of Canarium. The findings are organised according to three dimensions that elucidate the social implications of industry development for local communities: (i) income and growth; (ii) equity; and (iii) voice and choice. Broader distribution of benefits within and between countries, as well as among supply chain actors, requires a stronger policy response at regional (Melanesia) and national scales, equitable gender representation to avoid reinforcing existing inequalities, and delegation of decision‐making power to the appropriate level to facilitate effective community participation and their links with other stakeholders. Thus, it remains to be seen whether Canarium‐related benefits arising from its commercialisation can be sufficiently reliable compared with either other sources of income (e.g. existing employment opportunities for those located near urban areas) or utilising the resource for subsistence purposes.     

基于高光谱联合流化床富集的红葡萄酒白藜芦醇检测

利用高光谱成像技术联合流化床富集技术对红葡萄酒中微量成分白藜芦醇的含量进行快速检测。通过高效液相色谱法检测红葡萄酒中白藜芦醇的含量,设计流化床富集装置,研究HPD826、DA-201、AB-8、H103、HPD600共5种树脂对红葡萄酒中白藜芦醇的富集效果,筛选出H103树脂富集效果最优。将H103大孔吸附树脂用于富集红葡萄酒中的白藜芦醇。获取吸附白藜芦醇后树脂的高光谱反射图像(900~1 700 nm),对比5种光谱预处理方法(MSC、SNV、SG-S、RN、QN)对白藜芦醇含量的建模效果,优选出RN预处理方法;建立PLSR、SVMR(LK-SVMR、PKSVMR、RBF-SVMR和S-SVMR)、PCR的6种回归模型,优选出LK-SVMR校正模型和PLSR校正模型,将其用于预测集样本进一步评价模型的精度和稳定性,最终确定PLSR模型为最佳模型。研究表明,基于RN-PLSR的红葡萄酒中白藜芦醇的定量预测模型相关系数R_P=0.852 8,预测集均方根误差为0.036 0,R_C=0.878 3,校正集均方根误差为0.033 0,预测效果最佳,为高光谱技术在微量、痕量成分检测方面的应用提供了参考。     

X射线荧光光谱法快速检测原料公干鱼中的镉

旨在建立一种基于X射线荧光光谱法快速检测原料公干鱼(原料鱼)中镉的方法。应用X射线荧光光谱法快速检测原料鱼初始样及干燥样中的镉含量,对快速检测与标准检测结果的相关性进行了分析;考察了对原料鱼进行快速干燥处理的可行性;采用原料鱼的标准测定值对X射线荧光光谱仪进行校正后,考察了快速检测方法的精密度、检测限、准确度等性能参数。结果表明:X射线荧光光谱法能准确测定原料鱼干燥样中的镉,检测限达0.088 mg/kg,线性范围为0.088~1.286 mg/kg,相对标准偏差低于10%。该快速检测方法测定单个样品只需40 min左右,可满足现场对原料鱼中镉的快速测定要求,为防控原料鱼食品中镉超标风险提供了一种高效的筛查手段。     

基于镧系金属有机框架材料检测水体中酰胺类除草剂残留的可视化技术研究

研发水体中酰胺类农药残留简便快捷的检测技术,对评估农药造成的水体污染和提出相应的治理对策具有重要意义。以共掺杂镧系金属离子 (Eu3+ 和Tb3+) 作为配位金属离子,分别利用水热法和微波法制备了镧系金属有机框架材料 (lanthanide metal-organic frameworks, Ln-MOF),对其结构和性质进行了表征,并采用所制备的Ln-MOF对水体中残留的5种常见酰胺类除草剂 (乙草胺、异丙草胺、丙草胺、敌草胺和异丙甲草胺) 进行了定性和定量分析。结果表明:与水热法相比,采用微波法制备的Ln-MOF样品呈蓬松的簇状、结晶度好,且具有更高的发光效率,故选择微波法制备Ln-MOF。农药残留检测试验结果表明,不同除草剂对Tb3+和Eu3+的发光会产生差别性猝灭,并使整体发射光发生变化,进而实现水体中农药的可视化检测。进一步研究发现,荧光强度比值I (Tb3+)/I (Eu3+) 与丙草胺浓度在0.1~1 mmoL/L范围时呈线性相关,线性相关系数R2 = 0.998,检测限 (LOD) 为0.08 mmoL/L。另外,该材料对于用湖水配制的除草剂溶液也具有一定的定性检测能力。本研究结果展现了Ln-MOF用于水体中酰胺类除草剂的定性、定量分析具有良好应用前景。     

基于深度学习的病虫害智能化识别系统

我国农作物种植覆盖面广、分散度高,病虫害发生种类多、区域性发生规律复杂,传统的人工鉴定技术从效率、能力与精度方面均难以满足新形势下重大病虫测报要求。针对这一实践需求,以测报灯下害虫图像数据库(约18万张)、田间病虫害图像数据库(约32万张)为基础,构建了基于深度学习方法的病虫害种类特征自动学习、特征融合、识别和位置回归计算框架,并研发了移动式病虫害智能化感知设备和自动识别系统。通过近2年的精确度和实操运行效率检验,该系统在自然状态下对16种灯下常见害虫的识别率为66%～90%,对38种田间常见病虫害(症状)的识别率为50%～90%。随基础数据库的不断丰富、神经网络深层特征提取的不断完善,该系统有望进一步提高识别准确率,从而真正实现田间病虫害识别自动化、智能化和高效率。