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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
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Agriculture AI Use Cases
Crop monitoring and yield prediction
Leading to better crop yields through the use of AI
Soil health monitoring
Soil particulate and composition can be analysed by ML models to provide recommendations for soil improvement
Identification of crop diseases
An image classification model trained to identify different diseases
Satellite imagery analysis
ML can analyse satellite imagery to gain insights such as crop infestation from thermal imagery
Optimise crops based on soil profile
AI can suggest which crops would be optimal for the analysed soil composition and particulate
Predicting market demand
Satellite imagery and weather data can predict which crops will have done better and therefore market demand
Pesticide optimisation
Reduce the amount of pesticide needed based on data analysis, crop type, soil type etc
Weed and invasive species detection
Early identification of unwanted plants. Herbicide optimisation
Livestock monitoring
Track movement, count animals, detect illnesses, monitor feeding patterns
Livestock prediction
Tracking numbers of animals and using past breeding habits to extrapolate future livestock numbers
Farm management suggestions
Suggest decisions like irrigation schedules, pesticide applications, and harvesting times based on real-time data and learned patterns from past seasons.