poultryNET - Poultry production management
DunavNET
poultryNET - Poultry production management
DunavNET
poultryNET - Poultry production management
DunavNET
Farm management and decision support solution for efficient poultry production
poultryNET is an advanced farm management and decision support solution designed to optimise poultry production. By integrating IoT sensors, devices, and AI-driven analytics, poultryNET delivers real-time insights into critical farm parameters. This allows for automated decision-making that optimizes production, improving efficiency and poultry quality.
With
poultryNET, farmers can significantly reduce poultry mortality by up to 20%,
improve feed conversion ratios by at least 2%, and streamline operations—all
while ensuring the wellbeing of the animals. Built on the agroNET platform,
poultryNET offers both web and mobile apps, with powerful edge and cloud-based
analytics.
This solution empowers poultry
producers to enhance farm efficiency and profitability, and it’s also adaptable
for smart agriculture providers and system integrators who wish to develop
custom solutions for the poultry industry.
Key Benefits:
- Increased Efficiency and Productivity
- Optimized Poultry Conditions
- Real-time Insights and AI Support
- Reduced Mortality and Improved Feed Conversion
Target Audience: poultryNET is designed for poultry producers seeking to optimize farm operations. It is also suitable for agriculture technology providers and system integrators aiming to create tailored solutions for poultry farms.
Microsoft Technology Integration: poultryNET integrates seamlessly with Microsoft Azure for cloud-based data storage and analytics, and supports integration with other Microsoft tools to enhance farm management and optimize operations.
Proof Points:
- Achieved significant improvements in poultry production metrics for several clients.
- Proven track record of enhancing operational efficiency on poultry farms.
- Expert models and data analytics engines power real-time insights and decision support.