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Intelligent Farm Monitoring

Powered by Machine Learning

Advanced multi-sensor agricultural platform with ESP32 integration, real-time monitoring, and predictive ML analytics for smarter farming decisions.

Advanced Hardware Features

Comprehensive multi-sensor platform built on ESP32 architecture for robust agricultural monitoring

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Temperature & Humidity

DHT22 sensor for precise environmental monitoring

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Soil Moisture

Real-time water availability tracking in soil

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Rain Detection

HW-080 sensor for rain detection and intensity measurement

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Soil pH Monitoring

Continuous soil acidity and alkalinity analysis

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Air Quality

MQ135 sensor for air quality and pollutant detection

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Light Intensity

BH1750 sensor for precise lux measurements

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Real-Time Clock

RTC DS3231 for accurate timestamps and seasonal reference

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Crop Imaging

ESP32-CAM with OV2640 for disease and pest detection

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Local Storage

MicroSD slot for data logging and image storage

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Solar Powered

Off-grid operation with deep-sleep power management

Machine Learning Integration

Advanced AI models optimized for agricultural applications and edge deployment

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Plant Disease Detection

Disease prediction for crops(Currently only for chilli plant)

Models & Algorithms

Random Forest XGBoost Neural Networks

Applications

Disease Risk Assessment Biotech
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Rainfall Prediction

Rainfall prediction based on natural parameters

Models & Algorithms

Random forest Regressor EfficientNet-Lite Logistic Regression

Applications

water level management Weather research Growth Monitoring
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Soil parameter management

Combined sensor and image analysis for comprehensive insights on soil health

Pest detection and auto-pesticide dispension

Multi-Modal Networks Decision Trees Ensemble Methods Small Neural Net(mlp)

Applications

Smart Recommendations Risk Assessment Automated Actions
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Edge Computing

On-device inference with TensorFlow Lite Micro optimization

Models & Algorithms

Quantized Models Pruned Networks Micro Controllers

Applications

Real-time Processing Offline Operation Low Power Consumption

System Capabilities

Performance metrics and technical specifications of our ML-powered agricultural platform

Performance Metrics

Real-world accuracy and reliability measurements

๐Ÿ“ˆ Prediction Accuracy
94%

Weather and irrigation prediction accuracy

๐Ÿ” Disease Detection
89%

Plant disease identification accuracy

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98%

Real-time processing capability

๐Ÿ“ถ Offline Operation
100%

No internet dependency

Technical Specifications

Hardware and software system details

Processing Power ESP32 Dual-Core 240MHz
Memory 520kB SRAM + MicroSD
Sensors 7+ Environmental Sensors
Camera OV2640 2MP with ML Processing
Power Solar + Deep Sleep Mode
Connectivity WiFi + Bluetooth (Optional)
Operating Range -40ยฐC to +85ยฐC
Data Storage Local MicroSD + Cloud Sync

Intelligent Automation Workflows

Smart decision-making powered by machine learning for proactive farm management

High
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Trigger

Rain predicted in next 2 hours

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Sensor ML Analysis
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Action

Stop irrigation pump automatically

Critical
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Trigger

Soil moisture < 30%, no rain predicted

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Environmental ML
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Action

Start irrigation pump

Urgent
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Trigger

High fungal risk + disease signs detected

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Image ML + Sensor ML
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Action

Alert farmer & recommend fungicide

Medium
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Trigger

Low pH detected in soil

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Chemical Analysis ML
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Action

Suggest lime application

Medium
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Trigger

Low sunlight + nutrient deficiency signs

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Fusion ML
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Action

Recommend foliar spray

Key Benefits of ML Integration

Why our intelligent system outperforms traditional monitoring solutions

Offline Intelligence - Works without internet in rural areas
Automation Ready - Direct control of pumps and valves
Predictive Analysis - Acts before problems become severe
Adaptive Learning - Models improve with farm-specific data
Low-Cost Deployment - No expensive weather stations needed
Modular Design - Easy sensor addition and removal

Get Started with SmartFarm AI

Ready to revolutionize your agricultural operations? Contact us for implementation details and technical documentation.

Contact Information

Get in touch with our technical team

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Email

contact@smartfarm-ai.com

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Phone

+1 (555) 123-4567

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Location

Agricultural Technology Hub, Silicon Valley

Resources & Documentation

Open Source ESP32 Compatible TensorFlow Lite Solar Powered

Request Information

Tell us about your agricultural monitoring needs