Revolutionizing Plant Growth with AI

Botanical Bytes presents an innovative approach to optimize plant growth using artificial intelligence.

GitHub

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.

Botanical Bytes Team presenting at BWKI Competition

Key Features

AI-Powered Optimization

Our neural network predicts optimal water amounts for efficient plant growth.

Custom Data Collector

Real-time monitoring of environmental parameters for precise control.

Edge Detection for Seeds

Optimizes seed positioning for better germination rates.

In the News

Tech Innovators Weekly

"Botanical Bytes is pushing the boundaries of AgTech with their AI-driven approach to plant cultivation."

Tech Innovators Weekly
Green Future Magazine

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

Green Future Magazine
AgTech Daily

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

AgTech Daily

Awards and Recognition

BWKI 2024 Finalist

Finalist in the Bundeswettbewerb Künstliche Intelligenz 2024

Best Innovation Award

Best Innovation Award at the Regional AgTech Symposium

Green Technology Grant

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
Neural Network

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

Growth Day 1

Day 1

Growth Day 2

Day 2

Growth Day 3

Day 3

Growth Day 4

Day 4

Edge Detection for Seeds

Original Seed Image

Original Seed Image

Canny Edge Detection

Canny Edge Detection

Sobel Edge Detection

Sobel Edge Detection

Data Collector PCB Versions

Data Collector PCB - Version 1
Data Collector PCB Version 1

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.

Plant Growth Analytics Dashboard
Growth Metrics

Track plant development with precise measurements and growth indicators.

Resource Usage

Monitor water and nutrient consumption for optimal resource allocation.

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