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We have been asked about garden design software a lot recently, home gardeners seem to be looking for a system of not only designing gardens and landscaping projects but also a way of recording their plantings and making notes on what grows well where it is and when to prune, divide, spray etc. Garden Design Software and Landscape Design Software programs are available in a number of forms including:. Be warned — most garden and landscape design software packages provide no or little information on plant suitability, you will still need to do the research. With all of the online garden design software, planning, design and record keeping packages available we are yet to find one where you can transfere the records and design successfully to your own computer, so you are stuck with them, if they disappear or go to paid model, you could loose all of your records and design. However this does not mean design software, something free and online that allows you to keep your own records, design and plan your garden online does not exist, we has just not found one yet. We have also not been offered review copies of garden design software.
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The traditional urban landscape planning and design method cannot integrate the design into the whole planning scene and cannot express the planning effect of multiple schemes and large scenes in an efficient, intuitive, and coordinated way. With the development of computer science and technology, virtual reality technology based on AI is playing an important role in many aspects of urban landscape planning and design.
In this paper, on the basis of 3D visualization landscape planning and design, 3D visualization urban landscape modeling is carried out using VR combined with the constructed deep neural network DNN to establish a 3D database and virtual scene model of the landscape, and 3D representation of the virtual scene landscape is realized. The designed solution allows the user to grab the object and release it into the workspace.
If any placement is needed, the user can pick up the layer again and move it to a new location. Finally, the simulation experiment and its result analysis were conducted to effectively analyze the site of the real model and its matching rate, to realize the integration of the 3D image, 3D stereo, and system integration technology, and to finally complete the landscape design task.
Virtual reality technology emerged at the end of the 20th century and is a comprehensive information technology integrating a series of technologies such as computer technology, multimedia technology, network technology, parallel processing technology, and sensor technology [ 1 , 2 ].
People create and experience a variety of virtual worlds through virtual reality technology. With the growing maturity of virtual reality technology, this technology has slowly started to be used in various design fields, providing great convenience for designers to realize their own design ideas, improving design quality and design efficiency [ 3 ].
Image digital recognition technology is an innovative technology that uses digital image processing technology as its own basis for the recognition of experimental content using a computer [ 4 ]. As technology in the field of AI, the main process is divided into three steps, image acquisition, image processing, and image recognition [ 5 ]. The features of the landscape in landscape images can be collected using special tools, such as cameras, and then the information collected can be analyzed using computer technology to complete the identification or design of the landscape images [ 6 ].
In the actual landscape design, all aspects should be fully considered, not only to realize the effect of the design structure but also to coordinate and match the surrounding environment as well as the landscape design, etc. Once the final design plan is determined, then extensive modifications will increase the cost. If virtual reality technology is used, it allows users to experience the program more realistically, and once it is determined, extensive modifications can be avoided and costs reduced [ 9 ].
Therefore, before the realization of landscape design, the design plan should be improved, and virtual reality technology should be used to promote the scientificity and feasibility of landscape design.
Only by integrating landscape design and virtual reality technology, 3D characteristics can be highlighted;, in addition, the designers concerned to clarify whether the design scheme can use virtual reality technology to achieve the final effect, to ensure the operability of the design content. The use of virtual reality technology to design the landscape can effectively save a lot of labor and greatly reduce costs.
Convolutional neural networks CNNs are one of the most popular and innovative techniques in the context of big data, and they contain unique processing methods that have been utilized in many fields and scenarios [ 10 ], especially in the area of image processing discussed in this paper. Landscaping technology is the use of computers to collect image features contained in images such as landscape images or photographs and use these features for landscape recognition.
Landscaping is categorized under the category of image recognition, where the image to be experimented with is viewed as a high-dimensional random vector, and the resulting data are mapped to a low-dimensional feature space [ 11 ]. Landscape architects concerned can expand the scheme according to its own specificity or change the details of the design scheme to make it more reasonable and then improve and update it to form the final design scheme [ 12 ].
In addition, although virtual reality technology cannot be fully realized but can be more comprehensive, a more perfect display of the content of the drawings guides users to experience the landscape design content, experience the process of guiding users according to their actual needs and the landscape design content of the unreasonable, and puts forward views and opinions, so that landscape designers can make users and designs achieve good interaction, so that designers can reshape the design works [ 12 ].
The use of virtual reality technology combined with deep learning technology to design the landscape can effectively save a lot of manpower, greatly saving costs, while the designer can also adjust or modify the plan according to their own needs, and thus closer to the actual needs of the user for the landscape effect, to achieve good interaction between the user and the design [ 13 ].
Such an interactive approach will greatly reduce landscape design time, make the design more responsive to the actual needs of users, improve the design more comprehensively, and make it easier for designers to reshape the design. In summary, this paper uses virtual reality technology combined with the constructed deep neural network DNN to establish a 3D database and virtual scene model of the landscape in the 3D visualized landscape planning and design and carries out 3D visualized urban landscape modeling to achieve a 3D representation of the virtual scene landscape [ 14 , 15 ].
Finally, the simulation experiment and its result analysis were conducted to effectively analyze the site of the real model and its matching rate, to realize the integration of 3D image, 3D stereo, and system integration technology, and to finally complete the landscape design task.
Currently, the model design of landscape scenes, through VR or AI, contributes to advance innovation. In a large number of problems, the configuration of landscape scenes is upgraded and solved using computer innovation [ 5 , 16 ]. Landscape scene measurement recreates, utilizes the view, and visualizes the scene of a rising degree [ 8 ].
Rafiq et al. A survey of intuitive 3D landscape scene models has likewise shown to be useful for media representation of different landscape types [ 18 ]. Portman et al. We use deep learning models to drive landscaping research, creating large-scale realistic video explorations and models while evaluating the soundness of a landscaping design [ 20 ].
For example, hand-drawn viewpoints are drawn using CNN for watercolor painting, advanced photo acquisition, and discrepancy in confirmation using semantic contrast to cross 3D models [ 21 , 22 ]. We introduce intelligent visual rendering, based on data-driven deep learning models suggesting an influence on the final choice of creation.
Meanwhile, in the field of computer-generated reality, many researchers have conducted related studies [ 23 , 24 ]. Stimulation with Unity 3D allows us to access the sky, territory, water, clarification of development strategies for trees and flowers, and professional help in the use of VR innovations in nurseries [ 25 ].
Building models for landscape design based on GAN-generated natural scenes, vivid visual dramatization, and task scenes provide an assessment of human biological systems [ 26 ]. Virtual reality technology creates a virtual reality environment for the learner. The corresponding learning tasks are designed based on the existing experience and knowledge of the environmental landscape in the VR environment [ 6 ]. To accept a task, we select a character to enter the learning environment and use a VR device to complete the task; the proposed AI combined with the VR scheme in this paper is shown in Figure 1.
In this environment, each learner is an individual and their organs are completely immersed in the virtual reality environment, isolated from the real world. It allows us, for example, to realize the true meaning of the wind and the natural world. Immersion in virtual reality technology is an experience in a situation that the learner cannot experience in the real world. The virtual reality environment is a minimal distraction and easy [ 27 ].
The user controls the gripping, pitching, and positioning of the virtual reality object. VR user interface with various tools was used for in-depth learning of the model around the building. It grabs the layer from the left side of the tool holder and places it in the workspace shown in Figure 2. Users can run it standing or sitting, using applications and operations. It has a calm environment that allows the user to fix points of the baseline and turn on the virtual reality.
VR was used with various tools for user interface for in-depth learning around the building model.Structural elements are also a prerequisite for building deep models based on virtual reality technology and are central to the integration of virtual reality technology and deep learning concepts.
These components include participants, virtual reality interaction platforms, interactive tools, resource sharing, and common purpose [ 28 ]. Specifically, participants refer to learners, instructors, and industry experts. Learners complete the core and subject matter of the learning task through learning. It is collected by teachers and industry professionals to assess student learning, provide guidance and support to learners, and actively explore and guide students to deepen their knowledge.
Virtual reality interactive platform is a learning environment that uses information technology and virtual reality devices to provide learners with online communication.
It is also a profession for sharing learning resources. The interactive tool is a medium of communication between participants. It can provide functions such as online search, transfer, and download resources to build knowledge and help participants.
Resource sharing includes resource building and resource sharing, as shown in Figure 3. The resource structure collects learning videos, documents, images, and other resources through the learning platform to form systematic learning materials for learners.
Resource sharing is a learning discussion forum where learners share their knowledge and experience [ 16 , 25 ]. From deep learning groups for daily tasks and common goals by learning the same topics and objectives, learners learn knowledge based on a specific learning path.
Team members fully demonstrate their subjective efforts to achieve the ultimate learning goal. The core aspect of this paper is DNN built as shown in Figure 4. This feature allows the user to grasp objects and release them into the workspace.In this feature, it is simple to ensure that the user can interact with the application in a familiar way.
The element of familiarity is especially important for new virtual reality users. All new users are unfamiliar with the environment as it is designed to interact to minimize the learning curve. The layer is discarded. The user picks it up and then lifts it in any direction. It applies to the physical object at that point, causing it to drop to the ground, touch the ground, and disappear.
In this way, the user can quickly discard irrelevant layers and intuitively change the structure of the model. DNN is shown in Figure 4. For the characteristics and features of landscape design images, a training sample, validation sample, model layers, and fusion method are proposed to build a complete CNN model.
The model is able to extract potential information about the grayscale spatial distribution of target pixels in landscape design images and achieve accurate recognition of targets. The target image data are composed of pixel gray values [ 29 ], and the target features are mainly reflected by the spatial distribution information of different pixel gray values, such as the distribution relationship of target pixels and the regional distribution relationship of target and clutter.
This feature extraction method acquires the landscape design image containing the complete target and then uses it as the input layer feature image.
Therefore, the designed model, which is based on the improvement of VGG16 [ 30 ], and different data features are selected separately during the training process, and then the blocks in the model are fused, which improves the accuracy of target recognition. And based on this, the prediction module is added to improve the recognition ability of the model.
In these models, the convolutional layers all use the same convolutional kernel parameters; for example, the convolutional kernel size kernel size used in the convolutional layers is 3; i.
Using the same pooling kernel parameters, the pooling kernel parameters of the CNN model are chosen to perform target detection based on the distribution of target pixel grayscale values [ 31 ]. Pixel points of the image should focus on and highlight the transport target; in other cases, the mean value of the target can be extracted more accurately, so a mean pool is used to train the CNN target detection model. The model consists of multiple convolutional and pooling layers stack , which makes it easier to form a deep network structure.
The advantages of the overall model can be summarized as simple filtering, easy to analyze, and easy to use. Step 2: apply the preprocessed images for analysis, cluster the images to evaluate the values, and partition the images. Step 3: find the image values and neighborhood values and identify the output data. Train and check the values using deep neural networks.
Step 4: check the condition of the convergence value. Step 5: analyze the image and classify the environmental landscape values. Step 6: end. To provide more accurate results and real-time object recognition, for example, in applications such as robotics and self-driving cars, the size of CNN needs to be increased by adding more neural network layers [ 13 , 31 ].
Thus, millions or billions of operations and parameters as well as large computational resources need to be trained, and the resulting large DNNs need to be evaluated. DNNs are trained offline using a back-propagation process.
The offline trained cellular neural network is then used for feedforward processing to complete the cognitive task. Therefore, the speed of feedforward processing is crucial. A convenient feature of CNN is that each feature-mapped neuron shares its weight with all other neurons.
Landscape design software provides the tools and automation to create accurate layouts and models of landscapes. Landscape designers and landscape architects can use Autodesk software to create 2D drawings or 3D models that save time, cost, and materials. Image courtesy of Munden Fry Associates. Subscription includes AutoCAD, specialized toolsets, and apps. Product details.
landscaping-exterior-design-landscape-pix4d-pix4dmapper-3d-model- along with Pix4Dcapture mobile flight planning app, which controlled.
By Andrew Dale. Showing clients their completed landscape or garden designs before the soil has even been turned is now a reality, and has been for some time. The Internet and e-mail have transformed the way we go about everyday business; likewise, computer aided design CAD has revolutionized landscape and garden design in terms of time saving, cost reduction, and more importantly, quality of presentation. Of course, there are still designers with artistic flair who prefer creating concept plans and perspectives the traditional way - with ink and paper, on a drawing board. There are indeed some very talented individuals capable of producing hand drawn concepts which would be fit for hanging in the Tate Gallery; but there comes a point in any business where the need for technology surpasses tradition in an economic sense, time equals money. Why would you want to spend hours, or even days, hand rendering plans and perspectives when you could cut this down to minutes or hours utilizing a computer? For many designers using CAD software, the days of presenting clients with a simple planting plan, and possibly a basic perspective or elevation sketch, is long gone. To remain competitive you need to take full advantage of this ever-changing technology.Even better, you can have your client sitting next to you viewing the design on screen, and make last minute amendments by moving plants and other elements in real time.
Landscape Design Software. The landscaping of a home is an integral part of both architecture and design. It may be a backyard or the front yard, a street-view or fenced, regardless, it is the space that adds aesthetic value to a financial real estate investment. If the landscape is shabby as compared to the beautiful indoors then the overall aesthetic appeal of that home diminishes significantly. So, as an interior designer, what do you do to solve this problem?
The following article is a review of three of the best free design software programs on the market.
Design Tools — iScape has easy-to-use design tools that allow your project to come to life in no time at all. Share — Send your project to a spouse, friend or a local landscape pro — use iScape to share your vision and make it a reality. Collaborate — iScape has built a community of active users, designers and industry partners…working together to make your project come to life. Thousands of landscape professionals around the globe are using iScape to save time, provide greater value and make more money. Output custom proposals and materials list with the click of a button!
Your garden is usually the place where you fill yourself with amazing energy and positivity; the place where you spend time with your loved ones; the perfect place to chill on a Sunday morning. So, when it comes to the point you need to design your future garden, you may feel overwhelmed. Whatever project you start, planning is always the key. It surely is smart to have a plan ready to go and follow, but it can be difficult to design a whole garden with only some paper and pencils.That is exactly why, with technology on the rise, free landscape design software systems have been manufactured in order to give us a hand in creating a digital blueprint to follow when we start digging. However, the real issue with these landscape design software systems is that some developers attach a large price tag. No one wants to pay for a blueprint since they are already paying for an expensive project. Fear not, there are free programs out there, and we made a list with our favorites.
In the early days I was always one of those people that thought 3D garden design software was defeating the object of the artist who had spent years.
Landscape design apps are tools that help homeowners and professional landscapers plan outdoor spaces. Some include advanced features like AR visualization. And others simply help you place plants and create garden layouts. This post is a definitive guide to landscape design software for companies and designers. A landscape design app is a type of software that helps landscapers, designers, and homeowners visualize new landscape layouts.
VizTerra offers a streamlined interface, intuitive tools, and an extensive 3D library that makes it seamless to draw in 2D, transform your ideas into 3D, and then create a fully interactive 3D presentation to share with your clients — instantly.
Before you start planning a new home or working on a home improvement project, perfect the floor plan and preview any house design idea with DreamPlan home design software.A free version of DreamPlan home design software is available for non-commercial use. If you will be using DreamPlan at home you can download the free version here. Bathroom Design Remodel your bathroom with easy-to-use floor planning software before starting your redesign project. Kitchen Design Visualize your new kitchen remodel project before purchasing appliances, cabinets, paint, counters and flooring. Trace Mode Import an image file of your house floor plans and turn it into a 3D model. Built-in Library Choose from an extensive built-in library of beds, chairs, couches, appliances, doors, framers and more.
If you are looking to create a 3D virtual landscape, there is plenty of software to help you do that. As you would expect, an app that is dedicated solely to landscaping as opposed to interior house design as well will likely have more features than you would expect and need in your creative process. However, there are a few titles on our list that are more Renaissance men than handymen, offering a complete package with great features, from home design to garden landscaping, for one. Space Designer 3D is an online service, which means it will work from a browser no matter what platform you are using.