Before a farmer plants a seed, a series of decisions has already shaped the outcome. When to prepare the land, what crop to cultivate, how much input to apply, and when the market will be ready.
In many farming communities, these choices are often made based on experience alone. But for Stanley Nwabunwanne Ugwubujoh, they should also be guided by data. That belief has shaped his work for more than a decade and continues to define his contribution to agriculture in Nigeria.
With more than a decade of experience across agri-tech, fintech, and communications in Nigeria, Ugwubujoh has built a career around one central idea: data should work for people.
From his early years at DAAZ Agro Limited in 2010 as a Data and Research Executive to his current role as Data Analytics Manager at PetraApex Agro Limited, his journey reflects a steady shift from understanding markets to building systems that guide farming itself. That shift changed how he viewed agriculture.
“Farm intelligence system is a data-driven system that helps farmers make better decisions by collecting, analysing and using information about their farms,” he explains.
For him, market access and linkages solve one part of the problem, helping farmers find buyers. But farm intelligence reaches further.
It supports every stage of the agricultural cycle, from land preparation and cultivation to harvesting, processing, and marketing.
This broader view became the foundation of his work. At DAAZ Agro, he helped design data collection systems for agricultural intervention programmes and later applied analytics to IoT soil-sensor data, contributing to farming recommendations that improved crop yields. The lesson was clear: better information leads to better outcomes.
“Farm intelligence can support thousands of farmers at scale, and help adapt recommendations to local conditions,” he says. “It helps farmers with better decision making, improved market timing, higher productivity, and reduction of risks.”
At the centre of this approach is data. Ugwubujoh argues that data is not simply about reports or dashboards.
It is a practical tool that helps farmers understand risks and opportunities before they become costly mistakes.
“Data, when collected and analysed, plays a vital role in providing ample information to the farmers,” he says.
It can help predict weather patterns, detect crop diseases early, recommend fertiliser use, forecast yields, and guide farmers on when and where to sell produce. In this way, data becomes more than information; it becomes a pathway to stronger production decisions and financial stability.
His work in fintech reinforced this thinking. At Truzact Technologies Limited, he developed analytics models that improved fraud detection and automated reporting systems. Though the sector differed, the principle remained the same: systems built on quality data create trust, efficiency, and measurable impact.
That philosophy shapes how he defines innovation in Nigeria’s agri-tech space.
“Any meaningful innovation in agri-tech within the Nigerian context must create practicable and scalable solutions that solve real problems faced by farmers in Nigeria.”
For Ugwubujoh, innovation is not about introducing technology for its own sake. It must improve productivity, income, resilience, and market participation. It must also reflect the realities of local communities, culture, literacy levels, digital exposure, and economic conditions. This is where many systems face difficulty.
“Challenges often arise due to regional peculiarities,” he notes. A farming model that works in Ikom, Cross River State, may fail in Abakaliki, Ebonyi State, because of climate, soil, and farming practices. Beyond these differences, farmers and stakeholders may question the credibility of data sources, slowing adoption and trust.
Ugwubujoh emphasises that bridging that gap requires systems that are local, transparent, and easy to act on.
Looking ahead, he sees financial inclusion and data-driven agriculture becoming even more connected.
“The relationship between financial inclusion and data-driven agriculture is seemingly inseparable,” he says.
Access to credit allows farmers to invest in smart inputs, digital tools, and mechanisation. At the same time, data strengthens the systems that lenders rely on to assess risk and support agricultural growth.
