Biodome logo

AI-powered biodome simulation for plant growth modeling

Client

The AI-powered Biodome is an intelligent simulation platform designed to bridge the gap between theoretical learning and practical experimentation. By combining machine learning, procedural visualization, and real-time environmental simulations, the platform creates a virtual ecosystem where users can study how external factors influence plant growth and development.
Developed using the Unity 3D engine, the solution enables researchers, educators, and learners to explore complex biological processes through an interactive and visually engaging environment.

Industry

AI & Machine Learning

Services

Cloud & Backend Engineering
Software Development Services

Country

RomaniaRO Flag

Company size

Startup

Project Highlights

The platform combines interactive simulation, AI-driven optimization, and real-time visualization to support a more practical understanding of plant growth dynamics.

virtual ecosystem

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Unity 3D-based biodome simulation
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Dynamic timeline control for lifecycle analysis
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Machine learning agents for environmental optimization
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Environmental factor simulation: water, temperature, sunlight, and soil type
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Real-time procedural plant growth visualization
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AI-driven decision-making for optimal plant growth conditions
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Simulation of roots, stems, branches, leaves, and reproductive structures
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Educational and research-oriented virtual ecosystem
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Damage and degradation modeling for plant components

The Challenge

Understanding plant growth requires analyzing multiple environmental variables simultaneously, including soil composition, temperature, water availability, and sunlight exposure. Traditional educational materials often struggle to demonstrate the dynamic relationship between these factors and their impact on plant health.

Simulating realistic plant growth processes while visualizing the environmental impact in real time

Applying machine learning techniques to optimize growing conditions

Transforming complex biological concepts into interactive learning experiences

Our Solution

The system dynamically visualizes plant evolution and the effects of environmental changes on roots, stems, trunks, branches, leaves, and reproductive structures. It also includes damage and degradation simulations, allowing users to see how adverse conditions affect plant health over time.

virtual ecosystem

Machine Learning for Biodome Optimization

The Biodome platform uses AI agents to analyze environmental and biological factors such as soil composition, water availability, temperature, sunlight exposure, plant health, growth rate, and lifecycle stage.

Based on these inputs, the system can adjust growing conditions and improve its decisions over time through evolutionary learning techniques, helping identify more favorable conditions for sustainable plant growth.

Virtual Ecosystem

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Inputs

Soil, water, temperature, sunlight, plant health, growth stage

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AI Actions

Precipitation, temperature, sunlight, soil composition

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Learning Method

Crossover, mutation, replication, best-agent selection

Scalable, secure and streamlined solutions for your business success

For business inquiries:

+40-230-521100

icon main logohello@assist.ro

Our address:

1 Tipografiei Street 720043, Suceava, Romania

Frequently Asked Questions

1. Can you integrate AI into an existing software product?

Absolutely. Our team can assess your current system and recommend how artificial intelligence features, such as automation, recommendation engines, or predictive analytics, can be integrated effectively. Whether it's enhancing user experience or streamlining operations, we ensure AI is added where it delivers real value without disrupting your core functionality.

2. What types of AI projects has ASSIST Software delivered?

We’ve developed AI solutions across industries, from natural language processing in customer support platforms to computer vision in manufacturing and agriculture. Our expertise spans recommendation systems, intelligent automation, predictive analytics, and custom machine learning models tailored to specific business needs.

3. What is ASSIST Software's development process?  

The Software Development Life Cycle (SDLC) we employ defines the stages for a software project. Our SDLC phases include planning, requirement gathering, product design, development, testing, deployment, and maintenance.

4. What software development methodology does ASSIST Software use?  

ASSIST Software primarily leverages Agile principles for flexibility and adaptability. This means we break down projects into smaller, manageable sprints, allowing continuous feedback and iteration throughout the development cycle. We also incorporate elements from other methodologies to increase efficiency as needed. For example, we use Scrum for project roles and collaboration, and Kanban boards to see workflow and manage tasks. As per the Waterfall approach, we emphasize precise planning and documentation during the initial stages.

5. I'm considering a custom application. Should I focus on a desktop, mobile or web app?  

We can offer software consultancy services to determine the type of software you need based on your specific requirements. Please explore what type of app development would suit your custom build product.   

  • A web application runs on a web browser and is accessible from any device with an internet connection. (e.g., online store, social media platform)   
  • Mobile app developers design applications mainly for smartphones and tablets, such as games and productivity tools. However, they can be extended to other devices, such as smartwatches.    
  • Desktop applications are installed directly on a computer (e.g., photo editing software, word processors).   
  • Enterprise software manages complex business functions within an organization (e.g., Customer Relationship Management (CRM), Enterprise Resource Planning (ERP)).

6. My software product is complex. Are you familiar with the Scaled Agile methodology?

We have been in the software engineering industry for 30 years. During this time, we have worked on bespoke software that needed creative thinking, innovation, and customized solutions. 

Scaled Agile refers to frameworks and practices that help large organizations adopt Agile methodologies. Traditional Agile is designed for small, self-organizing teams. Scaled Agile addresses the challenges of implementing Agile across multiple teams working on complex projects.  

SAFe provides a structured approach for aligning teams, coordinating work, and delivering value at scale. It focuses on collaboration, communication, and continuous delivery for optimal custom software development services. 

7. How do I choose the best collaboration model with ASSIST Software?  

We offer flexible models. Think about your project and see which model would be right for you.   

  • Dedicated Team: Ideal for complex, long-term projects requiring high continuity and collaboration.   
  • Team Augmentation: Perfect for short-term projects or existing teams needing additional expertise.   
  • Project-Based Model: Best for well-defined projects with clear deliverables and a fixed budget.   

Contact us to discuss the advantages and disadvantages of each model. 

ASSIST Software Team Members