Advanced Livestock Farming Technologies at the InnoFarm Investment Event

Advanced Livestock Farming Technologies at the InnoFarm Investment Event: Strong Investor Reception of Modiran Tahlilgar Sepahan’s Smart Livestock Farming Solutions

Karaj – August 10, 2026 — The InnoFarm specialized investment event, recognized as one of the leading investment events focused on innovation in the agricultural and livestock industries, hosted a specialized presentation by Modiran Tahlilgar Sepahan.

The presentation, which received strong interest from investors, outlined a roadmap for moving beyond traditional farming methods and transitioning toward smart and digital livestock farming.

As a knowledge-based company, Modiran Tahlilgar Sepahan presented its operational solutions for enhancing the productivity and efficiency of industrial livestock farms, leveraging advanced software and hardware infrastructure aligned with the latest international technologies.

A Paradigm Shift Toward Smart Livestock Farming and the Fourth Industrial Revolution (Industry 4.0)

One of the key themes of the presentation was the necessity of upgrading technologies used in industrial livestock farms and moving toward smart livestock farming based on the technologies of the Fourth Industrial Revolution (Industry 4.0).

Within this approach, Artificial Intelligence (AI), Big Data, and integrated communication systems were introduced as key pillars of modern herd management.

These technological advancements can significantly reduce production costs while maximizing the accuracy and efficiency of managerial decision-making.

Strategic Partnerships with Iranian Companies and Leading Universities in IoT

Believing in the potential of domestic expertise and innovation, Modiran Tahlilgar Sepahan presented its successful collaborations with leading scientific and industrial hubs in Iran in the field of Internet of Things (IoT).

These collaborations include:

• Joint scientific and research projects with Amirkabir University of Technology, including collaborations with Rasa and Famogen.
• Joint scientific and research projects with Shahid University focusing on intelligent responses to Temperature-Humidity Index (THI), ammonia levels, lighting, sound, and other environmental parameters.
• Collaboration with Pishro Micron Tozin in the field of digital monitoring of weighing and feeding data.
• Development of management dashboards for monitoring retention and culling, production, economic efficiency, and other key performance indicators.
• Collaboration with leading startups to implement intelligent systems, including:
  • Automated monitoring of inventory levels of feed and other livestock inputs.
  • Intelligent livestock identification using computer vision and RFID, along with monitoring of activity levels, body temperature, and other parameters.
  • Automated body condition scoring (BCS).
  • Automated assessment of employee productivity and performance.
  • Collaboration with several other innovative startups.
• Development of multiple management dashboards for:
  • Herd Management and Reproduction
  • Precision Livestock Nutrition and Ration Formulation
  • Product Cost Accounting and Financial Budgeting

Data Security Based on Blockchain and Commitment to DHI Principles

Data is one of the most valuable assets of a modern livestock operation.

During the presentation, the company’s data-security solution, based on Blockchain technology, was introduced to ensure data integrity, prevent unauthorized alteration, and enhance the security of herd data.

It was also emphasized that all developed tools are designed in accordance with established scientific principles of Dairy Herd Improvement (DHI), ensuring that animal identification, record keeping, and performance data collection comply with international standards.

Simulating the Future with Digital Twins and Open-Source Development

The introduction of Digital Twin technology was one of the most innovative and engaging sections of the presentation.

Using this technology, livestock farmers can simulate various management, nutritional, and economic scenarios within a virtual environment and predict herd behavior, performance, and productivity over the coming years with a high degree of accuracy.

In addition, by introducing an open data-sheet and Open Source approach, the company has paved the way for easier integration of different software platforms and greater opportunities for user-driven customization and development.

Continuous technical support and ongoing practical training further reinforce the long-term sustainability, usability, and reliability of these solutions in industrial livestock farms.