Series: The Future of Agriculture — Article 10 of 12
Throughout this series, we have explored the technologies transforming agriculture: sensors, drones, AI, robots, blockchain, vertical farms, and climate-smart practices. These innovations promise greater productivity, sustainability, and resilience. But a critical question remains: who will benefit?
Most of the world’s farms are small. According to the Food and Agriculture Organization (FAO), smallholder farms—those under two hectares—number around 500 million and support billions of people. They produce a significant share of the world’s food, especially in developing countries. Yet many smallholders are poor, vulnerable, and lack access to the technologies and markets that could improve their lives.
If smart agriculture benefits only large farms in wealthy countries, it will deepen inequalities and leave millions behind. If it benefits smallholders too, it could transform rural livelihoods and global food security. This article examines the question of inclusion and equity in smart agriculture. We will explore the barriers smallholders face, the models that can help them benefit, and the policies and partnerships needed to ensure that the agricultural transformation is just.
Smallholder farmers are farmers who cultivate small plots of land, typically less than two hectares. They may own or rent their land, and they often rely on family labor. They may grow crops for subsistence, for local markets, or for export. They may also raise livestock or fish.
Smallholders are diverse. They include subsistence farmers in sub-Saharan Africa, rice growers in Southeast Asia, coffee producers in Latin America, and vegetable growers near cities around the world. They differ in resources, skills, and aspirations. Some are highly entrepreneurial; others struggle to survive. Understanding this diversity is essential for designing effective policies and programs.
Despite their differences, smallholders share common challenges. They often lack access to credit, insurance, and markets. They face high transaction costs and weak bargaining power. They are vulnerable to weather, pests, and price shocks. They may have limited access to information, training, and technology. And they are disproportionately affected by climate change and environmental degradation.
Smallholders are also critical to food security. They produce a large share of the food consumed in developing countries, especially in rural areas. Supporting them is essential for reducing hunger and poverty. If smart agriculture can help smallholders increase productivity and incomes, it can contribute to sustainable development on a massive scale.
Smallholders face several barriers to adopting smart agriculture technologies. Understanding these barriers is the first step toward overcoming them.
Cost is the most obvious barrier. Sensors, drones, robots, and software are expensive. Even low-cost technologies can be out of reach for farmers living on less than two dollars a day. The cost includes not only the initial purchase but also maintenance, subscriptions, and training. For smallholders with limited cash flow and no access to credit, these costs are prohibitive.
Cost also includes opportunity cost. Time spent learning new technologies is time not spent on farming or other income-generating activities. For farmers struggling to make ends meet, this is a real constraint.
Smart agriculture depends on infrastructure: electricity, internet, roads, and markets. Many rural areas lack reliable electricity, making it difficult to power sensors, charge devices, or run equipment. Internet connectivity is often slow, expensive, or unavailable. Without connectivity, IoT devices and cloud platforms cannot function.
Roads and transport are also important. Without good roads, farmers cannot get inputs or sell produce. Markets may be distant and inaccessible. Infrastructure investments are essential for smart agriculture to reach smallholders.
Smart agriculture requires digital skills: using smartphones, interpreting data, operating equipment. Many smallholders, especially older farmers and women, lack these skills. Literacy and numeracy may also be limited. Training and support are essential, but they are often unavailable or inadequate.
Language is another barrier. Many digital tools are available only in English or a few major languages. Farmers who speak local languages may be unable to use them. Localization is essential for inclusion.
Land tenure affects adoption. Farmers who do not own their land may be reluctant to invest in technologies that improve it. They may fear losing their land or not reaping the benefits of their investment. Secure land rights are essential for long-term investment.
Farm size also matters. Many technologies are designed for large farms and do not scale down well. A drone or robot that works on a thousand hectares may not be suitable for one hectare. Technologies must be adapted to small farm sizes and diverse conditions.
Smallholders are risk-averse, and for good reason. A failed crop can mean hunger or bankruptcy. Adopting new technologies involves risk: the technology may not work, the market may not materialize, the benefits may not outweigh the costs. Without insurance, credit, and safety nets, smallholders may be unwilling to take these risks.
Even if smallholders increase production, they may not be able to sell it profitably. Market access is limited by distance, transport costs, and middlemen. Bargaining power is weak, and prices are often low and volatile. Smart agriculture can improve production, but without market access, benefits may not translate into income.
Policies and institutions may not support smallholder adoption. Extension services may be underfunded and focused on traditional practices. Research may prioritize large farms and export crops. Regulations may favor large players. Coordination among government, private sector, and civil society may be weak.
Despite these barriers, there are models that can help smallholders benefit from smart agriculture. The following sections describe some of the most promising.
Shared platforms allow multiple farmers to access technology without individually owning it. Cooperatives, farmer groups, and service providers can own and operate equipment, sensors, and software. Farmers pay for services—such as drone spraying, soil testing, or data analysis—rather than purchasing equipment. This reduces costs and increases access.
Cooperatives also strengthen bargaining power. By aggregating production, farmers can negotiate better prices and access larger markets. They can share knowledge and support each other. Cooperatives are a proven model for smallholder development, and they can be adapted for smart agriculture.
Mobile phones are widespread, even in rural areas. Mobile-first solutions leverage this penetration to deliver smart agriculture services. Farmers can receive weather forecasts, market prices, and agronomic advice via SMS or apps. They can use mobile payment systems to buy inputs and sell produce. They can access remote sensing data and AI-powered recommendations.
Mobile-first solutions are low-cost, accessible, and scalable. They do not require expensive equipment or reliable electricity. They can be localized and designed for low literacy users. They are already transforming agriculture in many developing countries.
Low-cost sensors and open-source software are making smart agriculture more affordable. Arduino and Raspberry Pi platforms enable farmers and researchers to build custom sensors at low cost. Open-source software provides free tools for data analysis and visualization. These solutions reduce costs and empower users to adapt technology to their needs.
Community-based innovation is also emerging. Farmer innovation hubs, makerspaces, and hackathons bring together farmers, engineers, and entrepreneurs to develop solutions. These initiatives can produce technologies that are tailored to local conditions and affordable for smallholders.
Inclusive business models engage smallholders as partners, not just beneficiaries. Companies can source from smallholders, provide training and inputs, and share value. They can offer pay-as-you-go models, leasing, and microfinance. They can integrate smallholders into supply chains and provide market access.
Inclusive business models benefit both companies and farmers. Companies gain reliable supply and social license. Farmers gain access to markets, technology, and support. Governments can incentivize inclusive models through policy and procurement.
Public-private partnerships can mobilize resources and expertise to support smallholder adoption. Governments can provide funding, infrastructure, and policy support. Companies can provide technology, services, and market access. NGOs and research institutions can provide training, data, and evaluation.
Partnerships can be complex and require careful design. But when well-designed, they can achieve impact at scale. Examples include digital advisory services, weather index insurance, and traceability programs.
Farmers learn best from other farmers. Farmer-to-farmer learning—through field days, demonstration plots, and peer networks—is an effective way to spread smart agriculture practices. Lead farmers can test technologies and share results. Community videos and radio programs can reach remote areas. This approach builds trust and adapts technologies to local contexts.
Ensuring that smart agriculture benefits smallholders requires supportive policies and partnerships. The following are key priorities.
Governments must invest in rural electricity, internet, roads, and markets. These are prerequisites for smart agriculture. Public investment can leverage private investment and create enabling conditions for adoption.
Smallholders need access to credit, insurance, and savings. Microfinance, mobile money, and index insurance can help. Governments can provide guarantees, subsidies, and incentives. Financial institutions can develop products tailored to smallholders.
Extension services must be strengthened and modernized. They should include digital skills, climate-smart practices, and business management. They should be accessible to women, youth, and marginalized groups. Digital tools can complement face-to-face extension.
Research must prioritize smallholder needs. This includes developing affordable technologies, adapting technologies to small farms, and understanding adoption barriers. Participatory research, involving farmers as partners, is essential.
Secure land rights encourage investment and sustainable practices. Governments should strengthen land tenure, especially for women and marginalized groups. This is a foundation for inclusive agricultural development.
Markets must work for smallholders. This includes reducing transaction costs, improving market information, and strengthening bargaining power. Cooperatives, contract farming, and direct-to-consumer models can help. Standards and certification should be accessible to smallholders.
As agriculture becomes more data-driven, data rights and privacy become critical. Farmers should own and control their data. They should benefit from its use. Policies and regulations are needed to protect farmers and ensure fair data governance.
The future of inclusion in smart agriculture depends on choices made today. If current trends continue, smart agriculture may benefit mainly large farms and wealthy farmers, deepening inequalities. But with deliberate effort, it can benefit smallholders too, transforming rural livelihoods and food systems.
Technology will continue to improve and become more affordable. Mobile phones, low-cost sensors, and open-source tools will expand access. AI and satellite data will provide insights that were once available only to large farms. Shared platforms and inclusive business models will lower barriers.
Policy will be decisive. Governments that invest in infrastructure, finance, extension, research, and land rights will enable smallholder adoption. Those that do not will leave smallholders behind. International cooperation and financing will be essential, especially for the poorest countries.
Partnerships will be essential. No single actor can solve the challenge alone. Governments, companies, NGOs, research institutions, and farmers must work together. Trust, transparency, and shared goals are essential.
Perhaps most importantly, smallholders must be at the center. Solutions must be designed with them, not for them. Their knowledge, priorities, and constraints must shape the technologies and policies that affect them. This is not only a matter of justice but also of effectiveness. Solutions that ignore smallholders will fail to achieve impact at scale.
Smart agriculture has the potential to transform farming and food systems. But its benefits are not automatic or equally shared. Smallholders face significant barriers: cost, infrastructure, skills, land tenure, risk, market access, and policy. Overcoming these barriers requires deliberate effort, including shared platforms, mobile-first solutions, low-cost tools, inclusive business models, public-private partnerships, and farmer-to-farmer learning.
Policies and partnerships are essential. Investments in infrastructure, finance, extension, research, land rights, markets, and data governance can create enabling conditions for inclusion. With the right choices, smart agriculture can benefit smallholders, reduce poverty, and improve food security. With the wrong choices, it can deepen inequalities and leave millions behind.
In the next article in this series, we will explore the policies, investments, and business models that are shaping the future of smart agriculture. We will examine how governments, companies, and investors are driving the transformation—and what needs to change to ensure that it delivers on its promise.
Next in the series: “Policy, Investment, and Business Models: How Smart Agriculture Scales”