Knowledge Transfer Partnership Case Study – Taro Agric Farm

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The Knowledge Transfer Partnership (KTP) between University of the West of England (UWE), Obafemi Awolowo University (OAU), the Taro Agric Farm (TAF) was established to harness data-enabled innovations (DEI) for the commercial poultry industry in Nigeria. The project aimed to enhance chicken production efficiency and optimise overall business operations through the strategic application of data-driven technologies and academic expertise. Kamran Munir (Professor of Data Science) led the collaborative relationship with the Nigerian partners and the project from UWE. Saidu Oseni (Professor of Animal Sciences) led the project from OAU.

The Company

Taro Agric Farm (TAF), is a broiler chicken production company based in Southwest Nigeria. With over a decade of experience, TAF specialises in commercial broiler farming, operating concurrent batches of 2,000 birds per cycle. The company has multiple production centres, including its main base in Ile-Ife, Osun State, and outgrower units in Ilesa (Osun State) and Ibadan (Oyo State). Beyond production, TAF is actively engaged in consulting services, capacity building, and training for poultry farmers, offering expertise across the entire broiler chicken value chain—including input supply, production, processing, distribution, and marketing. A defining characteristic of TAF is its forward-thinking approach to poultry farming. Through the African Agriculture Knowledge Transfer Partnership (AAKTP), TAF successfully integrated smart technologies such as IoT-enabled sensors, a data storage for real-time data management, and predictive analytics to enhance decision-making in poultry production. This has positioned TAF as one of the leaders in leveraging data-driven solutions for sustainable poultry farming in Nigeria.

7 people from UWE Bristol and Taro Agric Farm stood together smiling at the camera

The Challenge

The Knowledge Transfer Partnership (KTP) between Taro Agric Farm (TAF), Obafemi Awolowo University (OAU), and the University of the West of England (UWE) was initiated to apply data-enabled innovations (DEI) to commercial chicken production in Nigeria and to improve and optimise business operations. A key focus was developing a strategy for embedding DEI to create sustainable broiler chicken operations over the long term. The poultry industry in Nigeria faces multiple constraints, including high mortality rates, inefficient farm management practices, limited use of data in decision-making, and poor environmental conditions affecting broiler chicken welfare and productivity. In the past, TAF like many others in the industry, relied on conventional methods of managing poultry production, which lacked the real-time monitoring and predictive capabilities needed to optimise productivity and farm environment. Farmers and farm managers had to rely on manual data collection and experience-based intuition, making it difficult to identify early warning signs of health risks or performance inefficiencies. Without data-driven insights, farm operations were reactive rather than proactive, often leading to delayed interventions and losses. In addition, one of the biggest challenges TAF faced in the past was high mortality and morbidity rates in broiler production. Various environmental factors, such as poor ventilation, excessive heat, high humidity, and exposure to noxious gases, particularly ammonia, significantly affected bird health. Without a robust system to monitor and control these environmental conditions, broiler chickens were at risk of disease outbreaks, respiratory problems, and stress, which ultimately led to economic losses.

Tackling these constraints required innovation in both poultry management and business practices to enhance the viability and profitability of operations. The KTP project activities included setting up an IoT platform, configuring sensor nodes, and establishing a database to record and store data on various parameters such as chicken welfare, input supplies, production, processing, distribution, and marketing. The project also involved the development of dashboards for monitoring key performance indicators (KPIs), the use of predictive analytics, and conducting performance comparisons across production batches. Additional activities included stakeholder engagement through workshops to build and embed capacity. The key accomplishments of KTP project include the successful setup, testing, and deployment of a IoT platform in a broiler chicken unit in southwest Nigeria, where key variables related to chicken welfare and performance were captured and monitored. Company data was archived in a database, and a dashboard was developed to track temperature, relative humidity, air quality and noxious gas parameters. An end of project Stakeholders’ Engagement Workshop aiming towards widening participation and sustainability with approximately ~100 participants, including poultry farmers and industry professionals, was also successfully conducted.

“This project equipped TAF staff with advanced digital farming skills, enhanced OAU’s research capacity and curriculum, and strengthened international collaboration—demonstrating how innovation and partnership can drive sustainable agricultural development.”

Prof. Kamran Munir (Professor of Data Science, University of the West of England, UWE Bristol)

Benefits and Changes

The Knowledge Transfer Partnership (KTP) between Taro Agric Farm (TAF), Obafemi Awolowo University (OAU), and the University of the West of England (UWE) has led to significant improvements in broiler chicken production, farm efficiency, and data-driven decision-making at TAF. As a result of the KTP, Taro Agric Farm and its staff have acquired several new knowledge areas and capabilities. These include (but not limited to):

  1. The staff gained expertise in deploying sensor nodes to monitor key health and welfare indicators of broiler chickens. This application of digital technology is directly contributing to improved productivity and profit margins by enabling real-time data collection and analysis of poultry welfare to guide operations at the unit.
  2. TAF implemented a smart farm infrastructure, incorporating WiFi, inverters, and clusters of sensor nodes, along with smart cameras to monitor the comfort, welfare, and performance of chickens. This integration allows for continuous, remote monitoring, improving operational control and decision-making.
  3. The business acquired the capability to track, manage, and analyse its data assets—spanning performance, ambient conditions, costs, and returns—via a MySQL database. This centralised data storage allows for enhanced data organisation, retrieval, and long-term analysis.
  4. A key capability gained was the deployment of a real-time dashboard that tracks health and welfare indicators of broiler chickens. This dashboard offers a user-friendly interface for staff to monitor key variables and make informed decisions regarding poultry welfare and management.
  5. The staff were trained to track and monitor key performance indicators (KPIs) across production batches and historical data. This has allowed TAF to benchmark performance, identify trends, and adjust improve the consistency and quality of production, while also enabling more accurate forecasting and strategic planning
  6. TAF’s adoption of data-enabled innovations (DEI) and IoT technologies positioned it as a leader in digital poultry farming in Nigeria. Sales turnover is expected to increase by 30%-40% within three years, due to improved efficiency and scalability. Profit before tax is projected to grow by 20%, within the next three years. Increased demand for TAF’s consulting services, as other poultry farms seek to implement similar digital solutions.

Obafemi Awolowo University (OAU) updated its Animal Sciences curriculum to incorporate digital technologies. The project also strengthened ties between OAU and UWE, fostering international collaboration in poultry technology research. The project research outcomes are being published as open access where possible which cover the use of digital technologies and data-enabled innovations for the enhancement of the welfare and performance of broiler chickens – as a case study in Nigeria.

“The KTP was an excellent opportunity to blend academic research with industry application. At OAU, we have always been committed to advancing precision livestock farming, and this project allowed us to practically demonstrate the power of digital transformation in poultry production.”

Prof. Saidu Oseni (Professor of Animal Sciences, Obafemi Awolowo University, OAU, Nigeria)

Key Facts

  • To best of our knowledge, TAF is the first poultry farm in Nigeria to integrate IoT and digital technologies into broiler production to this scale.
  • IoT-enabled sensors deployed to monitor temperature, humidity, air quality, and toxic gases in real-time.
  • A database established for real-time data collection and performance tracking
  • Decision Support Dashboard developed, allowing farmers to make data-driven decisions
  • Sales turnover expected to grow by 30 – 40%within three years
  • Profit before tax projected to increase by 20%
  • 100+ poultry farmers and industry professionals trained on smart poultry farming
  • 19 undergraduate & 2 MSc projects initiated on digital poultry farming at OAU
  • Presented findings at the Nigerian Poultry Show (NPS) 2024, reinforcing industry leadership
  • OAU integrated digital technologies into its Animal Sciences curriculum, influencing future research.

Find out more about the Knowledge Transfer Partnership in the Case Study below.


This partnership received financial support from the Knowledge Transfer Partnerships programme (KTP).  KTP aims to help businesses to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK knowledge base.  This successful Knowledge Transfer Partnership project, funded by UK Research and Innovation through Innovate UK, is part of the government’s Industrial Strategy.

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