How AI is Empowering Smallholder Farmers: The Story of Farm Assist by Soil Solutions

Smallholder farmers produce nearly one-third of the world’s food, yet they are often the most underserved when it comes to access to critical resources like expert advice, climate data, and financing. At Soil Solutions, we created Farm Assist, an AI-powered multilingual chatbot, to change that reality—by bringing timely, accurate, and locally relevant farming support directly into farmers’ hands.

In this blog, we share why this mission matters, how our technology works, and what the future holds for AI in agriculture.

The Real Challenges Smallholder Farmers Face

Despite their crucial role in global food systems, smallholder farmers across Africa and other parts of the Global South often operate at the margins. They struggle with:

Limited access to agricultural extension officers

Lack of real-time information on crop diseases or climate change

Barriers to financial credit due to lack of formal data or identity

Poor visibility into fair market prices

These issues are compounded by climate shocks, fragmented markets, and inadequate infrastructure. As a result, farmers face poor yields, income instability, and food insecurity.

A New Era: How AI is Changing the Landscape

The rise of AI offers new hope. Across the world, AI tools are helping to bridge the knowledge and financing gap. From satellite-based credit scoring to machine-learning powered agronomy advice, the shift is underway.

At Farm Assist, we’re proud to be leading this charge. Our AI chatbot is trained to speak over 125 languages, including local dialects, and can provide tailored advice on:

Climate-resilient agriculture

Real-time weather updates

Current market prices

Soil health and testing

Pest and disease management

Animal and crop farming best practices

Farmers can interact with Farm Assist through mobile web or even USSD, making it accessible even in areas with low connectivity.

Our Impact So Far

Since launch, over 100,000 farmers have been directly or indirectly impacted by Farm Assist. Here’s what we’ve achieved together:

Delivered instant agronomic support in multiple languages

Provided real-time market data, improving negotiation power

Reduced reliance on middlemen and low-quality inputs

Helped rural farmers increase yields and farm profitability

We’ve also been proud finalists at the 2025 AI for Good Global Summit in Geneva, recognized in the AI for the Planet category. This is a strong validation of our innovation and commitment to climate-resilient agriculture.

How Farm Assist Works

Farm Assist is built on a blend of:

Natural Language Processing (NLP) to understand diverse user inputs

Machine Learning models trained on agronomic datasets

Knowledge graphs to serve intelligent, structured advice

Firebase and cloud backend for scalability and secure user sessions

The chatbot evolves with every conversation, learning from user interactions and feedback to improve its accuracy and relevance.

What Farmers Are Saying

The feedback has been deeply encouraging. Farmers tell us they feel more empowered and confident in their decisions. Some say they no longer have to wait weeks for an extension officer or risk planting at the wrong time. Local cooperatives have even begun integrating Farm Assist into their support programs.

Challenges and How We’re Solving Them

Of course, innovation isn’t without hurdles. We’ve faced:

Internet connectivity issues in remote areas

Language diversity requiring robust NLP capabilities

High SMS delivery costs for offline access

Resistance to new technology among some traditional users

Our solution? We’ve built lightweight interfaces, prioritized local dialects, and leaned on feedback loops to constantly improve usability.

Collaborations That Power Our Mission

Farm Assist would not be possible without the support of our partners:

Firebase & Google for cloud infrastructure and SMS OTP

Microsoft AI for Good Volunteers, who contribute AI development expertise,

Ghana’s Ministry of Agriculture. These collaborations are crucial for scaling our reach and deepening our impact.

The Future of AI in Agriculture

AI is just getting started. In the years ahead, we see a future where:

Every smallholder farmer can access real-time advice in their own language

Data from satellites, drones, and sensors integrate seamlessly with AI tools

Personalized finance and insurance products are unlocked via AI insights

Food insecurity is reduced through smarter decision-making

We are committed to being a part of this future—and bringing Africa’s farmers along with us.

Final Word

At Soil Solutions – Farm Assist, we believe that farming should not be a guessing game. It should be data-driven, climate-smart, and inclusive.

If you’re an investor, policymaker, development partner, or fellow innovator—join us. Let’s build a future where no farmer is left behind.

Author
Brooklyn Simmons

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