Lessons from agri-food system failures and successes in Sub-Saharan Africa, South Asia, and Southeast Asia

There is no shortage of innovation in hunger-focused agri-food systems. Across Sub-Saharan Africa (SSA), South Asia, and South East Asia (SE Asia), startups are building tools that promise higher yields, better market access, improved nutrition and climate resilience. Yet, for every successful scale story, dozens of promising pilots stall – never reaching the farmers, SMEs or consumers they were designed to serve.

The problem is not a lack of ingenuity. It is a persistent misunderstanding of how adoption actually happens.

Too many startups optimise for technical validation at pilot stage, rather than designing for the complex socio-economic systems required for scale. The result: solutions that work in controlled environments but fail in real-world conditions.

This is not a new story. Development actors, research institutions and governments have faced the same challenges for decades. The difference is that startups often move faster – and repeat the same mistakes faster.

Treating adoption as a farmer decision, not a system outcome

Startups frequently frame adoption as a binary decision made by farmers: either use the product or don’t. In reality, adoption is an emergent property of entire systems – shaped by incentives, institutions, infrastructure and intermediaries.

Evidence from agricultural innovation systems shows that scaling depends on alignment across stakeholders, not just end users. When incentives are misaligned – even slightly – adoption stalls. (CGIAR System)

In SE Asia, for instance, fragmented ecosystems prevent even well-designed innovations from reaching scale. No single actor – startup, government or NGO – can independently drive adoption. (Grow Asia)

What this means in practice:
If your solution depends on extension workers, agri-retailers, financiers or policymakers, then your adoption strategy must include them explicitly. Farmer-centric design is necessary – but insufficient.

Overvaluing technology, undervaluing enablement

A common pattern: startups invest heavily in product development but underinvest in training, onboarding and long-term support.

Yet evidence from South Asia shows that even when farmers express strong interest, adoption stagnates without enabling conditions. The “four T’s” – targeting, training, targeted incentives and time – are consistently required to convert interest into sustained use. (Cambridge University Press & Assessment)

Digital agriculture provides a clear illustration. AI-enabled tools show promise across the region, but adoption varies widely depending on digital literacy, infrastructure and institutional support, not just product quality. (ScienceDirect)

What this means in practice:
Adoption is not a feature of your product. It is a function of your delivery model. Budget accordingly.

Ignoring the economics of the user

Many hunger-focused startups frame their solutions around social or environmental benefits – yield improvements, resilience, sustainability. While valid, these are rarely the primary drivers of adoption.

Farmers, SMEs and consumers make decisions based on immediate, tangible returns. If benefits are delayed, uncertain or poorly communicated, uptake will be limited.

Research consistently shows that technologies framed around public goods (e.g. water conservation) struggle to scale unless private benefits are clear and immediate. (CGIAR System)

Similarly, high upfront costs and unclear return on investment deter smallholders, particularly in SSA and South Asia where access to credit is limited. (AgTechNavigator.com)

What this means in practice:
If your value proposition cannot answer “what’s in it for me, today?”, you do not yet have an adoption strategy.

Designing for pilots, not for distribution

Pilots are controlled. Scale is unpredictable.

In pilot environments, startups often rely on subsidies, intensive support or curated user groups. These conditions rarely hold at scale. When the scaffolding is removed, adoption collapses.

This “pilot-to-scale gap” is widely recognised: the challenge is not innovation itself, but translating it into large-scale deployment through financing, partnerships and institutional alignment. (Global Agriculture)

In SSA and SE Asia, additional constraints such as weak market linkages, poor infrastructure and limited financial services further complicate scaling. (gsma.com)

What this means in practice:
Design your model for the constraints of scale from day one:

• Who pays at scale?
• Who distributes?
• Who maintains?
• Who captures value?

If the answers change after the pilot, you are not ready to scale.

Failing to co-design with users and intermediaries

Top-down innovation remains one of the most persistent barriers to adoption.

Across regions, evidence shows that solutions designed without meaningful user involvement face resistance – even when technically sound. Co-design is not a “nice to have”; it is central to adoption.

Experts emphasise that technologies must integrate organically into existing farming systems. If they disrupt workflows too heavily, farmers will revert to familiar practices. (AgTechNavigator.com)

This is particularly true in smallholder contexts, where farming systems are shaped by generations of localised knowledge and risk management strategies.

What this means in practice:
Co-design extends beyond initial user research. It requires continuous iteration with farmers, value chain actors and local institutions throughout the product lifecycle.

From lessons to action: Designing for adoption from day one

Across SSA, South Asia, and SE Asia, the lesson is consistent: adoption is not a downstream outcome. It is an upstream design constraint.

Startups that successfully scale tend to share a few characteristics:

• They embed themselves in ecosystems rather than operating as standalone solutions
• They align economic incentives across stakeholders early
• They invest as much in delivery and partnerships as in technology
• They prioritise immediate, user-level value alongside long-term impact
• They treat adoption as a continuous process, not a one-time milestone

Put more simply – they design for reality, not for pilots.

Closing Thought

Hunger-focused innovation does not fail because the problems are too complex. It fails because the solutions are too simplified.

Moving from pilot to scale requires confronting that complexity head-on, embracing messy systems, imperfect incentives and diverse user needs.

The startups that succeed will not be those with the best technology.

They will be the ones that truly understand adoption.

References

1. Karki et al. (2024). Strategies to overcome stagnation in agricultural adoption in South Asia. Cambridge University Press. (Cambridge University Press & Assessment)
2. ScienceDirect (2026). Artificial intelligence in agriculture across South Asia. (ScienceDirect)
3. AgTech Navigator (2025). Co-design critical to overcoming smallholder adoption. (AgTechNavigator.com)
4. Grow Asia (2025). GrowVentures: Accelerating adoption in Southeast Asia. (Grow Asia)
5. CGIAR (2025). From Pilot to Practice: Why agricultural innovations struggle to scale. (CGIAR System)
6. GSMA (2025). AgriTech Accelerator: Lessons from scaling digital agriculture services. (gsma.com)
7. IRRI / ADB Forum (2026). Bridging science, capital, and partnerships in Asia’s agrifood systems. (Global Agriculture)