Beijing Primary and Secondary School Students Plant Cultivation Competition Computer Version

The computer version of the Beijing Plant Cultivation Competition for Primary and Secondary School Students is a professional simulation tool developed based on crop growth models (such as DSSAT, APSIM) and supports Windows, macOS, Linux and domestic operating systems (such as Tongxin UOS). Its core architecture uses distributed computing technology to integrate meteorological, soil, and plant databases, and the average daily data processing exceeds 10GB. The software has a built-in virtual planting engine that can simulate the growth cycle of 200+ kinds of plants, covering all stages from seed germination to fruit maturity, and adapts to the needs of multiple scenarios such as school teaching and home planting.

Software function

Accurate planting simulation:

Environmental parameter setting: Supports customization of 12 environmental variables such as light intensity (0-100klux), soil moisture (5%-95%), temperature (-10℃ to 40℃).

Dynamic growth monitoring: Real-time display of 30+ physiological indicators such as plant height, leaf number, root distribution, etc., providing growth curve and predicted yield comparison.

Competition management system:

Task distribution function: Teachers can release planting tasks in batches (such as "Tomato High Yield Challenge"), and set time nodes and scoring standards.

Automatic data summary: The planting logs (including photos and text) uploaded by students are automatically classified and stored, and the competition report in PDF format is supported.

Scientific inquiry tools:

Experiment design module: supports scientific methods such as controlled experiments (such as comparison of different fertilizer amounts), variable control (such as differences in light duration).

Data analysis engine: Automatically calculate 20+ statistical indicators such as germination rate, growth rate, and pest and disease incidence, and generate visual charts.

Resource optimization mechanism:

Hardware-accelerated rendering: Using GPU parallel computing, the rendering efficiency of 4K plant growth animation is increased by 40% (RTX 3060 graphics card).

Offline mode support: 72 hours of planting simulation and data recording can still be completed in a disconnected environment.

Software features

Deep integration of science education:

It has a built-in index of knowledge points of the "Compulsory Education Science Curriculum Standards", and the learning content at each stage is automatically associated with the curriculum standard requirements.

Interdisciplinary integration capabilities:

Supports combining plant growth data with mathematical modeling (such as logistic growth model) and geographical climate analysis (such as accumulated temperature calculation).

Safety compliance design:

Data encryption transmission (AES-256) and blockchain certificate storage (enterprise version required) ensure that planting records cannot be tampered with.

Software features

Technical parameters:

The simulation accuracy reaches 92% (compared with actual planting data), the system response time is ≤500ms, and it supports online competitions for 100,000 concurrent users.

Scalability:

Open API interface can be connected to intelligent planting equipment (such as automatic watering system) to achieve data exchange.

Compatibility:

It is compatible with mainstream teaching all-in-one machines (such as Seewo and Honghe) and supports external sensors (such as temperature and humidity probes) to collect environmental data in real time.

1. Fixed several bugs;

2. Optimize details;