This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

AI-Driven Predictive Livestock Health Monitoring System

dac.digital

Agriculture

Environmental Services

Information technology

Challenges in Livestock Disease Management

Farmers face difficulties in early disease detection for cattle, leading to excessive antibiotic use, disease spread, and economic losses. Heterogeneous sensor data from milking robots and cow collars creates integration challenges for real-time health monitoring.

About the Client

Technology company specializing in AI and IoT solutions for sustainable agriculture and livestock management

Goals for Predictive Health Monitoring

Develop scalable AI algorithms for early disease detection in livestock
Create farm-agnostic data integration architecture
Reduce disease detection time by 300%
Minimize antibiotic usage through proactive interventions
Improve animal welfare and farm economic outcomes

Core System Capabilities

Multi-protocol sensor data integration (MQTT/Kafka)
AI models for pH/temperature analysis and milk composition prediction
Real-time anomaly detection dashboard
Early warning system for acidosis/ketosis
Scalable data aggregation framework

Technology Stack

Python/TensorFlow for AI model development

Java/Spring Boot for microservices

Kubernetes/Helm for container orchestration

MQTT protocol for IoT communication

Kafka for data streaming

System Integrations

Milking robot sensor APIs
Cow collar biometric devices
Farm management software platforms
Cloud storage solutions

Operational Requirements

Farm-agnostic scalability (10-10,000+ sensors)
Real-time processing (<500ms latency)
99.99% system availability
Data encryption and compliance (GDPR)
Cross-platform interoperability

Expected Business Outcomes

Enables 3x faster disease detection with 100% accuracy, reduces veterinary costs by 40%, decreases antibiotic use by 60%, and improves milk quality metrics. Creates sustainable farming practices while maintaining profitability through predictive livestock management.