Humbat Jamalov
Projects

project · Mar 2026

Guardian_X - AI Agriculture Intelligence

Organisation
Vercel
Status
Startup Concept / MVP

Overview

A full-spectrum agricultural technology designed to protect crop yields, detect pests using AI, and empower farmers with real-time data visualization and automated treatment schedules.

Key features

  • 24/7 Pest Monitoring: AI detection of aphids, codling moths, and beetles
  • Multi-channel Alerts: Instant notifications via Mobile App and SMS (Bakcell, Nar, Azercell)
  • Automated Treatment Schedule: AI-based localized pesticide recommendations
  • Independent Energy: Solar-powered modular detectors for remote fields
  • Multilingual Interface: Full support for Azerbaijani, English, and Russian

Technical details

Visuals
React Three Fiber & Three.js for 3D hardware rendering
Ai logic
Onboard Computer Vision for pest presence & severity analysis
Connectivity
Multi-channel Alert System (SMS Gateway for local carriers)
Power source
Modular Solar Energy Panels
Frontend stack
Next.js 14 (App Router), Tailwind CSS, Lucide Icons
Embedded system
Raspberry Pi Zero 2 W with High-Res Wide Lens Camera

System workflow

Step 1
Monitoring: Modular detectors at various altitudes track the environment
Step 2
Analysis: Onboard AI processes captured images in real-time
Step 3
Classification: Pest type and infestation intensity are identified
Step 4
Reporting: Cloud-synced recommendations are sent directly to the farmer

Achievements

  • Zangilan AI in Agriculture Bootcamp participant
  • Real-world field testing in the Khachmaz region
  • Positive feedback and validation from local farming communities

Impact goals

  • Cost Reduction: Preventing unnecessary pesticide use
  • Yield Increase: Minimizing crop loss through early diagnosis
  • Eco-Friendly: Promoting sustainable and chemical-reduced farming

Tech notes

Kind
3d_model
Library
Three.js
Description
Interactive 3D visualization of the detector unit

Deployed organization

Vercel