Revolutionizing Plant Growth with AI
Botanical Bytes presents an innovative approach to optimize plant growth using artificial intelligence.
About Us
Botanical Bytes is a team of passionate researchers and developers participating in the Bundeswettbewerb Künstliche Intelligenz (BWKI). Our project, Plant Growth Optimizer, aims to revolutionize plant cultivation by using AI to optimize growth conditions and resource usage.
Our system uses a neural network to predict optimal water amounts based on environmental parameters, coupled with a custom-built data collector board for real-time monitoring and control.

Key Features
Our neural network predicts optimal water amounts for efficient plant growth.
Real-time monitoring of environmental parameters for precise control.
Optimizes seed positioning for better germination rates.
In the News
"Botanical Bytes is pushing the boundaries of AgTech with their AI-driven approach to plant cultivation."

"The Plant Growth Optimizer project shows promising results in resource-efficient farming techniques."

"Student innovators develop AI-powered system for optimizing plant growth, showcasing the future of sustainable agriculture."

Awards and Recognition
Finalist in the Bundeswettbewerb Künstliche Intelligenz 2024
Best Innovation Award at the Regional AgTech Symposium
Green Technology Grant recipient from the Ministry of Science and Education
How It Works
Project Overview
Our Plant Growth Optimizer uses artificial intelligence to revolutionize plant cultivation. By leveraging a neural network and custom-built hardware, we optimize growth conditions and resource usage in real-time.
Key Components:
- Edge Detection for Seed Positioning
- Neural Network for Water Optimization
- Custom Data Collector PCB
- Real-time Growth Monitoring
Our neural network predicts optimal water amounts based on environmental parameters:
model = Sequential()
model.add(Dense(128, input_dim=5, activation='relu'))
model.add(Dense(64, activation='relu'))
model.add(Dense(1, activation='linear'))
model.compile(loss='mean_absolute_error',
optimizer='adam',
metrics=['mae'])
Growth Process Visualization
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Day 1
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Day 2
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Day 3
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Day 4
Edge Detection for Seeds

Original Seed Image

Canny Edge Detection

Sobel Edge Detection
Data Collector PCB Versions

The first version of our Data Collector PCB focuses on collecting basic environmental data:
- Temperature
- Humidity
- CO₂ levels
Plant Growth Admin Panel
Real-time Monitoring
Our admin panel provides comprehensive monitoring capabilities for tracking plant growth and environmental parameters in real-time. The interface displays crucial metrics including:
- Growth rate measurements
- Water consumption patterns
- Environmental conditions
- System performance metrics
Administrators can access detailed analytics and receive automated alerts when parameters deviate from optimal ranges.

Growth Metrics
Track plant development with precise measurements and growth indicators.
Resource Usage
Monitor water and nutrient consumption for optimal resource allocation.