The livestock sector is rapidly evolving, yet a large gap remains in real-time health monitoring, disease prevention, and productivity optimization. Traditional methods rely heavily on manual observation, often leading to delayed diagnosis, reduced yield, and economic losses for farmers and institutions.
With increasing concerns around disease outbreaks such as Foot-and-Mouth Disease and Lumpy Skin Disease and other significant zoonotic diseases, the need for continuous, data-driven monitoring has become critical.
Cattle Health Monitoring Intelligence (CHMI) presents a transformative opportunity to digitize livestock management. By integrating IoT, AI, and data analytics, CHMI enables proactive health tracking, early disease detection, and smarter farm decision-making. This not only improves animal welfare but also enhances productivity, reduces mortality rates, and supports scalable livestock management for farms, gaushalas, and research institutions.
Digital tracking of total cattle across farms and locations for better planning and resource allocation.
Unique ID-based linkage of each animal to its owner via ear tags for traceability and accountability.
Mapped tracking of cattle clusters within defined regions for faster response and regional monitoring.
AI-enabled early detection of Lumpy Skin, Foot-and-Mouth, and eye diseases to prevent large-scale outbreaks.
Prevention of herd-level infections and long-term reproductive damage.
Computer vision to detect diseases in sheep and goats, including PPR, ORF, and Bluetongue.
Automated systems for monitoring and intervention with minimal human dependency.
Multilingual treatment library (traditional + modern) mapped to symptoms to reduce dependency on immediate veterinary support.
Expert-led audio/video advisory content on cattle health and farm practices for continuous awareness.
AI-powered assistant for real-time cattle health and management queries.
Day-wise tracking of heat cycles and breeding windows for improved reproductive efficiency.