About
Neurohive is a precision livestock technology platform designed specifically for sheep and goat farmers. Unlike generic livestock management tools, every feature is engineered around the unique needs of small ruminant operations. Its core product, **Digital Farmer**, acts as a 24/7 digital farm partner. Farmers can monitor individual animal health, track per-animal and per-herd milk production, manage breeding cycles and births, and receive real-time AI-powered alerts — all from any device. IoT sensors and milking machine integrations feed live data directly into the platform, while customizable analytics dashboards surface actionable insights. **Digital Herd Book** provides comprehensive genealogical record-keeping with pedigree visualizations, DNA and genetic evaluation file storage, milk quality analysis (fat, protein, SCC, MUN), and full audit logs for regulatory compliance. It is approved for state subsidy in Greece and supports partner API access for approved organisations. Underpinning both products is an active R&D programme in computer vision (behavioural monitoring, body condition scoring, automated animal ID), sensor analysis (activity, environmental, and physiological signals), and machine learning models trained on small-ruminant-specific datasets for early disease detection and production forecasting. Neurohive is ideal for sheep and goat farmers looking to modernise operations, veterinarians and advisors needing shared access to herd records, and farming cooperatives or breed registries requiring compliant digital herd books.
Key Features
- Digital Farmer App: 24/7 herd management covering animal registry, milk production tracking, breeding management, IoT sensor integration, real-time alerts, and shared access for farmers, vets, and advisors.
- Digital Herd Book: Genealogical record-keeping with pedigree trees, DNA and genetic file storage, milk quality analysis (fat, protein, SCC, MUN), and full audit logs for regulatory compliance.
- Computer Vision: Camera-based AI analysis for behavioural monitoring, body condition scoring, and automated animal identification — extracting health signals without manual intervention.
- IoT Sensor Integration: Real-time signal processing from sensor networks measuring activity, environment, and physiological indicators, plus direct milking machine integration.
- Predictive AI Models: Machine learning models trained on small-ruminant data for early disease detection, production forecasting, and breeding outcome prediction.
Use Cases
- Monitor individual animal health and receive real-time AI-powered alerts to catch illness or welfare issues early.
- Track per-animal and per-herd milk production over time to optimise feed, breeding, and culling decisions.
- Manage breeding programs, record matings and births, and maintain full pedigree trees with DNA storage for genetic evaluation.
- Maintain a compliant digital herd book with audit logs, milk quality analysis, and regulatory documentation approved for state subsidy schemes.
- Integrate IoT sensors and milking machines to convert raw farm data into actionable intelligence through a unified cloud dashboard.
Pros
- Purpose-built for small ruminants: Designed from the ground up for sheep and goat farming — not adapted from cattle software — ensuring every feature is relevant and accurate for these species.
- Comprehensive, end-to-end platform: Covers herd health, milk analytics, genetics, IoT hardware, regulatory compliance, and AI insights in a single integrated system.
- Research-backed continuous improvement: Active R&D collaboration with veterinary and agricultural institutions means validated science is continuously fed into the platform.
- Multi-stakeholder access: Farmers, vets, and advisors can all access shared herd data, improving decision-making and animal welfare across the supply chain.
Cons
- Highly niche focus: Exclusively targets sheep and goat farmers, making it unsuitable for other livestock operations such as cattle, pigs, or poultry.
- Hardware dependency for full value: IoT sensors and milking machine integrations are required to unlock real-time monitoring features, which may involve additional hardware investment.
- Limited pricing transparency: Pricing details are not publicly listed on the website; prospective users must contact the team or request a demo to understand costs.
Frequently Asked Questions
What is Digital Farmer?
Digital Farmer is Neurohive's flagship app for 24/7 herd management. It covers animal health monitoring, milk production tracking per animal and herd, breeding and birth management, IoT sensor and milking machine integration, analytics dashboards, and shared access for farmers, vets, and advisors.
What is Digital Herd Book and is it officially recognised?
Digital Herd Book is a platform for comprehensive genealogical record-keeping, DNA management, and milk quality analysis. It has been approved for state subsidy in Greece and includes full audit logs to meet regulatory compliance requirements.
What AI and sensor technologies does Neurohive use?
Neurohive uses computer vision for behavioural analysis and body condition scoring, IoT sensor networks for real-time activity and environmental data, and predictive machine learning models trained specifically on small-ruminant data for disease detection and production forecasting.
Does Neurohive integrate with existing farm hardware?
Yes. Digital Farmer integrates with IoT sensors and milking machines, connecting farm equipment to the same cloud data layer as the herd management and analytics platform.
Who is Neurohive designed for?
Neurohive is built for sheep and goat farmers of all scales, as well as veterinarians and advisors who need shared access to herd records, and farming cooperatives or breed registries requiring compliant digital herd books.
