Smart Farming

Common Types

Soil moisture and temperature sensors
Weather station data (rainfall, wind speed, solar radiation)
Irrigation pump runtime and flow monitoring
Fertilizer and pesticide application logs

Uncommon/Advanced Types

Soil nutrient analysis sensors (NPK levels) with real-time mapping
Drone or satellite multispectral imaging for crop health (NDVI)
Predictive irrigation scheduling using weather + soil data models
Automated pest detection with in-field cameras and AI recognition

Possible Insights

Maximizing yield while reducing water and fertilizer waste
Detecting crop stress early for targeted intervention
Lowering operational costs through precision resource application
Increasing resilience to climate variability

Greenhouses

Common Types

CO₂, temperature, and humidity monitoring
Light intensity sensors
Ventilation and fan control status

Uncommon/Advanced Types

Real-time plant growth monitoring with imaging systems
AI-driven microclimate control for optimal plant growth
Integrated energy consumption vs. yield analysis
Nutrient solution quality monitoring in hydroponics

Possible Insights

Improving yield consistency and quality
Reducing heating/cooling costs through predictive climate control
Detecting early signs of disease or growth problems
Optimizing resource usage for sustainability certifications

Livestock Operations

Common Types

Wearable trackers for movement and location
Environmental temperature and humidity in barns or pens
Feed and water intake monitoring

Uncommon/Advanced Types

Wearable health sensors (heart rate, rumination, body temperature)
Automated weight and growth tracking systems
Manure management monitoring for methane reduction
AI-based behavior monitoring for early disease detection

Possible Insights

Reducing livestock mortality through early health intervention
Improving breeding and feeding programs for efficiency
Meeting sustainability and animal welfare compliance goals
Lowering vet and medication costs via proactive care