AgriLogix
AgriLogix 2.0
Precision Agriculture Platform
AI-Driven Solutions for Sustainable Farming
Revolutionizing agriculture through IoT sensors, drone technology, and machine learning to optimize crop yields while reducing resource consumption.
Explore the Platform40%
Water Savings
25%
Yield Increase
30%
Cost Reduction
Platform Overview
AgriLogix integrates cutting-edge technology to transform traditional farming into data-driven precision agriculture. Our platform provides real-time insights and predictive analytics to optimize every aspect of farm management.
Smart Irrigation
AI-powered irrigation scheduling based on soil moisture, weather forecasts, and crop requirements. Reduce water usage by up to 40% while maintaining optimal growth conditions.
Drone Surveillance
Multispectral drone imaging captures plant health data across entire fields. Identify problem areas before they're visible to the naked eye.
Pest & Disease Detection
Computer vision algorithms analyze crop imagery to detect early signs of disease, nutrient deficiencies, and pest infestations with 92% accuracy.
Yield Forecasting
Predict harvest volumes with 95% accuracy using historical data, current conditions, and growth patterns. Optimize your harvest planning and distribution.
Technical Architecture
AgriLogix combines hardware and software in a seamless ecosystem designed for scalability and reliability.
IoT Sensors
Sentek Drill & Drop Triscan Pro soil sensors measuring moisture, temperature, and salinity at multiple depths.
Cloud Infrastructure
AWS IoT Core, Timestream DB, and Lambda functions for real-time data processing and storage.
AI/ML Engine
TensorFlow-based models for irrigation optimization, pest detection, and yield forecasting.
Mobile Application
React Native cross-platform app for real-time monitoring and alerts on iOS and Android.
AI & Machine Learning
Our proprietary AI models transform raw data into actionable agricultural intelligence.
Irrigation Optimizer
LSTM neural network trained on historical soil/weather data that predicts optimal irrigation schedules. Continuously learns from farm-specific conditions to improve accuracy over time.
Pest Detection
YOLOv8 model processing drone RGB+NDVI imagery to identify 27 common crop pests and diseases with 92% accuracy, triggering alerts before visible damage occurs.
Yield Forecast
SARIMA time-series analysis combining satellite imagery, weather patterns, and growth stage data to predict harvest volumes with 95% accuracy 30 days before harvest.
Implementation Roadmap
Phase 1: IoT Deployment
Duration: 8 weeks
Deliverables: 50 sensor nodes + gateway setup, initial data collection pipeline, dashboard prototype
Phase 2: Data Lake Build
Duration: 6 weeks
Deliverables: AWS Timestream + S3 architecture, data validation workflows, API endpoints
Phase 3: AI Training
Duration: 10 weeks
Deliverables: Model validation reports, prediction endpoints, alert system integration
Phase 4: UI/UX Development
Duration: 12 weeks
Deliverables: Farmer mobile app (React Native), web dashboard, admin portal
Platform Dashboard
Interactive dashboard providing real-time insights and predictive analytics for farm management.
Dashboard Features:
- Interactive farm map with moisture heatmaps
- Irrigation control panel with scheduling
- Yield forecast graphs with predictive analytics
- Real-time alert system for anomalies
Technical Stack
AgriLogix leverages cutting-edge technologies to deliver a robust and scalable solution.
Python (PyTorch)
AWS IoT Core
TensorFlow
React Native
LoRaWAN
Terraform (IaC)
Node.js
Timestream DB
MQTT Protocol
Mapbox GL
D3.js
Raspberry Pi