AI Use Cases

UseCasesFor.ai

AI Use Cases

A collection of over 250 uses for artificial intelligence

A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more

Sign up

to receive a PDF containing all the use cases and stay updated with the latest AI trends and news (you can always unsubscribe)

Agriculture AI Use Cases

Crop monitoring and yield prediction
Agriculture ML

Crop monitoring and yield prediction

Leading to better crop yields through the use of AI

Soil health monitoring
Agriculture ML

Soil health monitoring

Soil particulate and composition can be analysed by ML models to provide recommendations for soil improvement

Identification of crop diseases
Agriculture CV

Identification of crop diseases

An image classification model trained to identify different diseases

Satellite imagery analysis
Agriculture CV

Satellite imagery analysis

ML can analyse satellite imagery to gain insights such as crop infestation from thermal imagery

Weather pattern decisions
Agriculture ML

Weather pattern decisions

Probabilistic models for seasonal weather forecasting

Water usage optimisation
Agriculture ML

Water usage optimisation

Optimising water consumption for agricultural use

Optimise crops based on soil profile
Agriculture ML

Optimise crops based on soil profile

AI can suggest which crops would be optimal for the analysed soil composition and particulate

Pest identification
Agriculture ML

Pest identification

Identify agricultural pests using image analysis

Predicting market demand
Agriculture ML

Predicting market demand

Satellite imagery and weather data can predict which crops will have done better and therefore market demand

Food ripeness
Agriculture CV

Food ripeness

Identify the ripeness of produce using image analysis

Pesticide optimisation
Agriculture ML

Pesticide optimisation

Reduce the amount of pesticide needed based on data analysis, crop type, soil type etc

Weed / invasive species detection
Agriculture CV

Weed / invasive species detection

Early identification of unwanted plants. Herbicide optimisation

Livestock monitoring
Agriculture CV

Livestock monitoring

Track movement, count animals, detect illnesses, monitor feeding patterns

Livestock prediction
Agriculture ML

Livestock prediction

Tracking numbers of animals and using past breeding habits to extrapolate future livestock numbers

Farm management suggestions
Agriculture Gen AI

Farm management suggestions

Suggest decisions like irrigation schedules, pesticide applications, and harvesting times based on real-time data and learned patterns from past seasons.