Whose Forests? (Smart AI Jungle Species & Canopy Light Sensor)
Source: Stemoto Original
Inspired by Suryamani's Kuduk tribal rights movement in Jharkhand. Build a forest canopy light meter (LDR sensor) that measures sun penetration in dense forests vs. plantations, and use AI image recognition to identify native jungle trees.
Categorisation
Props & Materials Required
- •Jungle canopy tree model with LDR light sensors at ground level
- •ESP32-CAM AI vision module (scans leaf patterns)
- •ESP32 controller board
- •3.5-inch TFT display screen
- •DFPlayer Mini MP3 module + 3W speaker
Step-by-Step Instructions
Scan Tree Leaf under AI Camera
Aim ESP32-CAM at a Sal tree leaf card.
AI Tree Classification Scan
Press 'AI Scan'. Edge AI model identifies: 'SPECIES: Sal Tree (Shorea robusta) | Native Forest Indicator'.
Measure Canopy Light Penetration
Place LDR sensor under dense natural forest model (reads 150 Lux) vs monoculture teak plantation (reads 850 Lux).
Tribal Forest Conservation Audio
Speaker plays Suryamani's Kuduk message: 'Forests belong to everyone! Save natural bio-diverse jungles!'
Why It Works & Notes
Whose Forests? highlights Suryamani's Torang center for tribal culture and forest conservation (protecting natural bio-diverse forests vs monoculture plantations). Using AI vision to classify tree species teaches environmental data science.
Looking Around Class 5 Chapter 20: Whose Forests? | STEM Tech: Ambient LDR Canopy Optical Density Measurement & AI Leaf Species Classification — forest ecosystem biodiversity mapping.