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ContextIn recent years, rural landscapes have played an increasingly important role in the fields of tourism, cultural heritage and ecology. Rural landscape research (RLR), which is characterized by diversity and complexity, has attracted more and more attention from researchers.ObjectivesThis study integrated the main research contents of RLR in the past 30 years by arranging the relevant research results and analyzing the research progress of RLR in order to understand the development trend of RLR, the distribution of research power, research hotspots and frontal research.Methods3740 relevant literatures from 1931 to 2020 were filtrated from the WoS Core Collection Database. Those papers were quantitatively data mined and qualitatively summarized by using Bibliometrics software for mapping and analysis.Results(1) The number of articles related to RLR increased exponentially over time. The average citations per paper increased fastest from 2002 to 2005. According to the characteristics of the number of articles and the average citations per paper, RLR can be divided into three stages from 1990 to 2020: the first stage is from 1990 to 1999; the second stage is from 2000 to 2008; the third stage is from 2009 to 2020. The second stage of RLR has attracted the most international attention among three stages. (2) According to the results of research strength analysis, Europe has a great influence in RLR. The Common Agricultural Policy and the European Landscape Convention are the main driving forces for the change of rural landscape in Europe. (3) At present, the five hotspots of RLR are rural landscape planning and management, cultural ecosystem services, urban-rural conflict, the sustainable development of rural cultural heritage landscape and the impact of landscape structure on habitat.ConclusionsRural landscape research was originally developed based on geography and ecology but has now developed to a comprehensive research direction of multidisciplinary and multi-methods with social, economic, culture and other elements. At present, the object of RLR covers the ecological landscape, production landscape, and cultural landscape of rural landscape system; the content of RLR has shifted from static pattern of rural landscape to dynamic evolution process, urban-rural conflict, cultural ecosystem service and multifunctional landscape trade-off; the research paradigm of RLR has changed from single dimension to multi-dimensional, and combined with “3S” technology and various landscape ecological model software. The correlation and mechanism should be studied between the rural landscape multifunctionality based on the perspective of multidisciplinary research and rural landscape system in the future, and carry out dynamic monitoring and trend simulation, so as to clarify the thinking and paths of rural landscape multi-functional trade-off and guide the sustainable development of rural areas.

Aimed at prospective and new students, this book gives a comprehensive introduction to the nature and practice of landscape architecture, the professional skills required and the latest developments. After discussing the history of the profession, the book explains the design process through principles such as hierarchy, human scale, unity, harmony, asymmetry, colour, form and texture. It looks at how design is represented through both drawing and modelling, and through digital techniques such as CAD and the use of GIS (Geographic Information Systems). This is followed by an examination of project management and landscape management techniques. Finally, the book explores educational and employment opportunities and the future of the profession in the context of climate change and sustainability. Illustrated with international examples of completed projects, Landscape Architecture provides an invaluable, one-stop resource for anyone considering studying or a career in this field.

Traditional landscape design methods rely entirely on the experience of designers and are difficult to adapt to the needs of modern society. This article proposes a landscape design method based on a distributed integrated model. Based on landscape design scheme data, the intelligent landscape design function is achieved by constructing a distributed geographic model, extracting features through data analysis and key point analysis, and using virtual environments in computer-aided design to display and restore the actual effects of landscape design. The results indicate that the landscape design method based on distributed integration mode is more in line with the needs of modern society and has significant advantages over traditional landscape design in terms of public interest and evaluation coefficient. The intelligent landscape design method based on distributed integrated models has important significance in modern urbanization construction, which can effectively improve the accuracy and speed of landscape design and create better living spaces for people.

As a teaching method that integrates online and offline teaching resources, the application of blended teaching mode in landscape design professional courses has attracted much attention. With the background of landscape design professional teaching, this paper carries out in-depth research and analysis on the definition, advantages and application of blended teaching mode in landscape design professional teaching. By means of questionnaire survey, this paper evaluates the application effect of the blended teaching mode of Blue Ink Cloud Classroom in landscape design majors in colleges and universities. Therefore, by comprehensively and systematically discussing the application of blended teaching mode in landscape design professional courses, the article provides useful reference and inspiration for the teaching reform and development of landscape design majors. It is hoped that the research results of this article will have a positive impact on the application of blended teaching mode in landscape design majors.

Cucurbit powdery mildew (PM) is one of the most severe fungal diseases, but the molecular mechanisms underlying PM resistance remain largely unknown, especially in pumpkin (Cucurbita moschata Duch.). The goal of this study was to identify gene expression differences in PM-treated plants (harvested at 24 h and 48 h after inoculation) and untreated (control) plants of inbred line \"112-2\" using RNA sequencing (RNA-Seq). The inbred line \"112-2\" has been purified over 8 consecutive generations of self-pollination and shows high resistance to PM. More than 7600 transcripts were examined in pumpkin leaves, and 3129 and 3080 differentially expressed genes (DEGs) were identified in inbred line \"112-2\" at 24 and 48 hours post inoculation (hpi), respectively. Based on the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway database and GO (Gene Ontology) database, a complex regulatory network for PM resistance that may involve hormone signal transduction pathways, transcription factors and defense responses was revealed at the transcription level. In addition, the expression profiles of 16 selected genes were analyzed using quantitative RT-PCR. Among these genes, the transcript levels of 6 DEGs, including bHLH87 (Basic Helix-loop-helix transcription factor), ERF014 (Ethylene response factor), WRKY21 (WRKY domain), HSF (heat stress transcription factor A), MLO3 (Mildew Locus O), and SGT1 (Suppressor of G-Two Allele of Skp1), in PM-resistant \"112-2\" were found to be significantly up- or down-regulated both before 9 hpi and at 24 hpi or 48 hpi; this behavior differed from that observed in the PM-susceptible material (cultivar \"Jiujiangjiaoding\"). The transcriptome data provide novel insights into the response of Cucurbita moschata to PM stress and are expected to be highly useful for dissecting PM defense mechanisms in this major vegetable and for improving pumpkin breeding with enhanced resistance to PM.

The development of information network and digital technology has improved people’s quality of life. Parametric design can reflect the thinking logic of users and the level of computer-aided design. Taking parameter features as the research object, this study makes multidimensional nonlinear landscape planning with multimedia technology. The application of multimedia technology will pave the way for the reference of computer design program, lead to multidimensional nonlinear landscape image analysis, sample and analyze it, and change the parameter characteristics through simulation to realize the optimization of landscape design. The research data show that the landscape correlation degree is 0.344–0.724. The similarity coefficient is between 0.433–0.645. The contribution level is between 0.323–0.774. The ambiguity factor is between 0.555–0.433. In this study, by simulating the spatial vision of the scene and changing the parameters, we can find the best scheme and get good results. Verify the real validity of the experimental data.

Research highlights: An automatic localization system for ground obstacles on harvested forest land based on existing mature hardware and software architecture has been successfully implemented. In the tested area, 98% of objects were successfully detected and could on average be positioned within 0.33 m from their true position in the full range 1–10 m from the camera sensor. Background and objectives: Forestry operations in forest environments are full of challenges; detection and localization of objects in complex forest terrains often require a lot of patience and energy from operators. Successful automatic real-time detection and localization of terrain objects not only can reduce the difficulty for operators but are essential for the automation of harvesting and logging tasks. We intend to implement a system prototype that can automatically locate ground obstacles on harvested forest land based on accessible hardware and common software infrastructure. Materials and Methods: An automatic object detection and localization system based on stereo camera sensing is described and evaluated in this paper. This demonstrated system detects and locates objects of interest automatically utilizing the YOLO (You Only Look Once) object detection algorithm and derivation of object positions in 3D space. System performance is evaluated by comparing the automatic detection results of the tests to manual labeling and positioning results. Results: Results show high reliability of the system for automatic detection and location of stumps and large stones and shows good potential for practical application. Overall, object detection on test tracks was 98% successful, and positional location errors were on average 0.33 m in the full range from 1–10 m from the camera sensor. Conclusions: The results indicate that object detection and localization can be used for better operator assessment of surroundings, as well as input to control machines and equipment for object avoidance or targeting.

Evolutionary computation （EC）, a collective name rithms, is one of the fastest-growing areas in computer science. for a range of metaheuristic black-box optimization algo- Many manuals and ＂how-to＇s on the use of different EC methods as well as a variety of free or commercial software libraries are widely available nowadays. However, when one of these methods is applied to a real-world task, there can be many pitfalls and booby traps lurking certain aspects of the optimization problem that may lead to unsatisfactory results even if the algorithm appears to be correctly implemented and executed, These include the convergence issues, ruggedness, deceptiveness, and neutrality in the fitness landscape, epistasis, non-separability, noise leading to the need for robustness, as well as dimensionality and scalability issues, among others. In this article, we systematically discuss these related hindrances and present some possible remedies. The goal is to equip practitioners and researchers alike with a clear picture and understanding of what kind of problems can render EC applications unsuccessful and how to avoid them from the start.

In view of the results obtained in the retrieval process of the 3D CAD model, which can show the differences in the local feature details of the model, the 3D CAD model retrieval algorithm is introduced into the analysis of the perspective distance-angle shape distribution of the garden landscape in this paper. Random sampling is performed on the surface of the constructed 3D CAD model, combined with the test distance between the sampling point and the neighboring points, and the corresponding garden landscape perspective distance-angle shape distribution characteristics in this area are calculated in order to achieve the similarity of the CAD model high-speed retrieval. Finally, experimental research shows that the algorithm proposed in this paper is better than the overall shape distribution algorithm and the spherical harmonic algorithm in the search performance of the CAD model, and it can effectively improve the recognition ability of the local detailed features of the 3D CAD model.