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Home Features Guest Writer

AI: The Indispensable Catalyst for Nigeria’s Agricultural Revolution

| By Diana Tenebe, chief operating officer, Foodstuff Store

by Techeconomy
August 8, 2025
in Guest Writer
0
Diana Tenebe writes on Food Insecurity in Nigeria | Nigeria's foodtech sector | AI and agricultural revolution
Writer: Diana Tenebe, chief operating officer, FoodStuff Store

Writer: Diana Tenebe, chief operating officer, FoodStuff Store

UBA
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Nigeria’s agricultural sector, a cornerstone of its economy, faces a critical crossroads. While employing a staggering 40% of the population and holding over 84 million hectares of arable land, the industry is hobbled by deep-seated challenges.

Low productivity, a fragmented supply chain, poor infrastructure, and a lack of access to financial services are just a few of the hurdles that prevent the sector from reaching its full potential.

Coupled with the unpredictable and severe shocks of climate change, from prolonged droughts to devastating floods, these issues threaten the food security of a rapidly growing population.

To truly transform this vital sector, a new approach is needed, one that moves beyond traditional methods and embraces the power of technology.

Artificial Intelligence (AI) is not just a futuristic buzzword; it is the imperative for Nigeria’s agricultural revolution.

AI holds the key to unlocking higher yields, building resilience, and fostering an inclusive and sustainable food system that can feed a nation and drive economic growth.

The most immediate impact of AI is in the area of precision farming. By integrating AI with technologies like Internet of Things (IoT) sensors, drones, and satellite imagery, farmers can gain an unprecedented understanding of their land.

AI-powered systems can analyse real-time data on soil moisture, nutrient levels, and plant health, providing actionable insights for targeted interventions.

For instance, smart irrigation systems can optimize water usage, a critical resource in a country facing increasing water scarcity.

AI-enabled drones can survey vast farmlands in minutes, identifying early signs of pests or disease and allowing for precise application of pesticides, reducing chemical use and cost.

Early trials of these technologies in Nigeria have already demonstrated significant gains, with some reports showing a remarkable 60-70% increase in crop yields.

Climate adaptation is another area where AI’s role is indispensable. Nigeria’s farmers are on the front lines of climate change, enduring erratic rainfall and extreme weather events. AI can provide a shield against this volatility.

By analyzing historical weather data and real-time forecasts, AI models can offer accurate, localized predictions.

This allows farmers to proactively adjust their planting schedules, select climate-resilient crop varieties, and plan for potential risks, effectively mitigating the devastating impact of droughts and floods.

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The economic benefits extend far beyond the farm gate. A significant portion of Nigeria’s agricultural produce is lost due to an inefficient and fragmented supply chain. AI can streamline logistics, optimize transportation routes, and enhance inventory management.

By reducing spoilage and waste, AI ensures that more of what is harvested reaches the market, thereby boosting the incomes of farmers and providing a more stable supply of food for consumers.

The success of Nigerian agritech companies like Crop2Cash, which has reportedly helped over 500,000 farmers increase their income by up to 70%, demonstrates the tangible economic impact of these technologies.

AI is a powerful tool for promoting financial inclusion and education. Millions of smallholder farmers, who form the backbone of Nigerian agriculture, are often excluded from formal financial systems due to a lack of collateral and credit history.

AI-driven fintech solutions can bridge this gap by assessing creditworthiness using alternative data, making it easier for farmers to access the loans and insurance they need to scale their operations.

AI-powered mobile apps and chatbots can also serve as virtual extension agents, providing personalized advice on best farming practices, pest control, and crop management, democratizing knowledge and empowering farmers to make better decisions.

Despite this immense potential, the journey towards widespread AI adoption is not without its hurdles. High upfront costs for AI-enabled equipment, a general lack of understanding and experience with these tools, and a preference for traditional methods are all significant barriers.

Furthermore, infrastructural gaps, including poor roads and inadequate storage facilities, hinder the seamless implementation of these technologies. Data availability and computational capacity are also key challenges that need to be addressed.

However, the Nigerian government and a burgeoning ecosystem of agritech startups are already paving the way forward. The government’s vision is articulated in initiatives like the National AI Strategy, which aims to establish AI research centers and support R&D.

Programs such as the Nigeria Artificial Intelligence Research Scheme (NAIRS) and the NITDA AI Developers Group are building the necessary skills among entrepreneurs and farmers.

Strategic partnerships between government bodies, financial institutions, and innovative startups are creating localized solutions that are tailored to the unique conditions of Nigerian agriculture.

Ultimately, AI is not a luxury but an imperative for Nigeria to unlock its agricultural potential. Its successful integration will transform the role of the farmer from a manual labourer to a strategic planner and overseer of a smart, efficient, and sustainable food system.

By investing in infrastructure, fostering strategic partnerships, and prioritizing education and capacity building, Nigeria can harness the power of AI to feed its people, drive economic prosperity, and secure its place as a leader in the African agricultural revolution.

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Tags: crop managementCrop2Cashdemocratizing knowledgefarming practicesFoodStuff Storepest control
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