Call for Collaboration on Smart Livestock Farming and Internet of Things (IoT) Projects
Invitation to Technology Companies, Specialized Teams, and Students to Develop Practical Solutions for Livestock and Poultry Farming
Modiran Tahlilgar Sepahan, a knowledge-based company active in the development of smart livestock farming solutions, invites technology companies, specialized teams, and students in fields related to the Internet of Things (IoT), artificial intelligence, and information technology to explore opportunities for collaboration through the introduction of ۳۰ proposed projects.
These projects address the needs of dairy cattle farms, fattening farms, small livestock farms, and layer poultry farms. They cover a wide range of applications, from data recording and transmission and economic analysis to livestock monitoring, equipment control, and automated counting. The objective is to develop practical tools that provide farm managers and specialists with actionable information.
Who Can Submit Collaboration Proposals?
This call is open to technology companies and knowledge-based enterprises, manufacturers of sensors and smart equipment, software developers, and data analytics and computer vision teams. Students and researchers in computer engineering, information technology, electrical engineering, electronics, telecommunications, control systems, artificial intelligence, and data science are also invited to introduce their relevant ideas and capabilities.
A significant number of these projects are designed to support data transmission through an Application Programming Interface (API) and integration with servers and management software. Machine learning techniques will also be considered according to the specific requirements of each project.
Management Software and Data Transmission Infrastructure
۱. Farm Accounting Software
Application: All farms. Development of simple accounting software based on a fixed coding system, with the ability to exchange information with the production cost calculation module.
۲. Production Economic Analysis Tool
Application: All farms. Development of an economic analysis tool that can be integrated with production management and cost calculation software to examine the relationship between costs and production results.
۳. Data Exchange and KPI Definition System
Application: All farms. Design of an API-based system for defining Key Performance Indicators (KPIs), transferring information between servers, securely storing data, and providing information to dashboards.
۴. IoT Equipment Communication Network
Application: All farms. Design of a data transmission network that supports various IoT devices and transfers the collected data to servers.
Computer Vision in Livestock Management and Monitoring
۵. Automated Livestock Weight Estimation
Application: Fattening farms. Development of an image-based livestock weight estimation system using computer vision, with the ability to evaluate results against reference weights.
۶. Automated Locomotion Scoring
Application: Dairy cattle farms. Image analysis of animal movement to determine locomotion scores and help identify animals requiring further examination.
۷. Automated Body Condition Scoring
Application: Dairy cattle farms. Design of an image-based system for estimating livestock Body Condition Scores (BCS) and comparing the results with reference assessments.
۸. Livestock Activity Monitoring
Application: Dairy cattle farms. Measurement and image-based analysis of animal activity to generate alerts when unusual increases or decreases in movement occur.
۹. Detection of Mating-Related Behaviors
Application: Small livestock farms. Development of a computer vision system to identify and record behaviors and events associated with mating.
۱۰. Detection of Suspected Mastitis Signs
Application: Dairy cattle farms. Design and evaluation of a computer vision system at the milking station to help identify animals suspected of having mastitis and requiring veterinary examination.
۱۱. Feeding Monitoring and Individual Feed Intake Estimation
Application: Dairy cattle farms. Recording the time animals spend at feeding stations and analyzing their feeding behavior to develop a model for estimating individual feed intake based on reference data.
۱۲. Automated Small Livestock Counting
Application: Small livestock farms. Development of a computer vision-based animal counting system with the ability to transmit counting results to a software platform.
Smart Automation of Layer Poultry Farms
۱۳. Poultry Activity Monitoring
Application: Layer poultry farms. Image-based analysis of chicken activity and generation of alerts in the event of an unusual decrease in movement.
۱۴. Automated Live Chicken Counting
Application: Layer poultry farms. Development of a computer vision-based system for counting live chickens, with the ability to transmit data to software.
۱۵. Automated Egg Counting
Application: Layer poultry farms. Design of an egg counting system that detects eggs passing through a designated area, with the capability to transmit data through an API.
Sensors for Measurement and Control on Farms
۱۶. Measurement of Selected Blood Parameters
Application: All farms. Design or development of a sensor for measuring selected blood parameters. The specific indicators, measurement method, and evaluation of results will be determined during the project’s technical assessment.
۱۷. Measurement of Selected Milk Parameters
Application: Dairy cattle farms. Development of a sensor-based solution for measuring selected milk parameters and transmitting the results for recording and analysis.
۱۸. Measurement of Selected Water Parameters
Application: All farms. Design of a sensor-based system for measuring selected water parameters and transmitting the data to software.
۱۹. Automated Refrigerator Temperature Monitoring
Application: All farms. Measurement of refrigerator temperature using sensors and transmission of data for recording and monitoring storage conditions.
۲۰. Milking Tank Fill-Level Control
Application: Dairy cattle farms. Measurement of tank fill levels and development of an automatic tank-switching control mechanism, with the ability to transmit data through an API.
۲۱. Portable Milk Tanker Fill-Level Control Device
Application: Dairy cattle farms. Development of a portable device for detecting the fill level of a milk tanker and issuing an automatic command to stop the incoming milk flow.
Environmental, Equipment, and Warehouse Inventory Monitoring
۲۲. Weather Monitoring Kit
Application: All farms. Automatic measurement of weather parameters using sensors and transmission of information to the management system.
۲۳. Automated Humidity Measurement
Application: All farms. Development of a humidity measurement system with the capability to transmit data through an API.
۲۴. Fixed Equipment Vibration Monitoring
Application: All farms. Measurement of equipment vibrations and generation of alerts when vibration levels increase, helping assess equipment conditions.
۲۵. Visual Bag Counting
Application: All farms. Design of a computer vision-based bag counting system with the ability to transfer counting results to software.
۲۶. Estimation of Stored Material Volume
Application: All farms. Estimation of warehouse material volumes using computer vision, with the ability to record and analyze changes over time.
Farm Safety and Access Control
۲۷. Smart Disinfection Management Gate
Application: All farms. Detection of people and vehicles and development of a control mechanism for selecting appropriate disinfection programs based on traffic type and safety requirements.
۲۸. Unauthorized Entry Detection
Application: All farms. Detection of movement across designated restricted areas using virtual boundaries or invisible barriers, with the ability to send detected events to software.
۲۹. Visual Smoke and Fire Detection
Application: All farms. Development of a computer vision system to identify signs of smoke or fire and generate alerts.
۳۰. Personnel and Vehicle Access Logging
Application: All farms. Design of a system for recording the entry and exit of people and vehicles at different locations throughout the farm.
How to Get Started with Collaboration
If you have expertise, an idea, a prototype, or a product related to any of these projects, please send a brief introduction through Telegram or Bale. To initiate the discussion, include the following information in your message:
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Name of the individual, team, or company and its area of expertise.
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Project number or title of the project you are interested in.
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A brief description of your proposed solution or relevant capabilities.
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Portfolio, résumé, or prototype images, if available.
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Name of the contact person and contact details.
Students and university teams are also welcome to introduce their areas of interest and capabilities for consideration of potential collaboration opportunities. Technical details and collaboration arrangements for each proposal will be discussed through direct communication.
Telegram: MVakili@
Bale: JavanSoft@
