Farmers today are producing food under pressures that would have been unimaginable to previous generations. Input costs are rising and supply chains are unreliable. Water is scarcer. The weather is less predictable. And for a growing number of farmers—in Sudan, in Ukraine, in Myanmar, in Gaza—the challenge is producing food at all, in the middle of active conflict. These are not marginal conditions. They describe the reality facing hundreds of millions of people who grow the food the world depends on.
Smart farming—using data, digital tools, and precision technologies to make better decisions, use fewer inputs, and get more from every hectare—is not a luxury response to these pressures. It is increasingly a practical and necessary one. It helps farmers know when to plant, where fertilizer will generate the greatest return, how much water a crop actually needs, where pests are likely to emerge, and which risks are developing before they become crises.
Three agricultural revolutions got us here. The first gave humanity settled agriculture. The second transformed land use and productivity through new methods and early machinery. The third—the Green Revolution—combined improved seeds, fertilizers, and modern practice to feed a rapidly growing world. Each solved the defining challenge of its era…producing enough.
The fourth revolution faces a fundamentally different challenge. It is no longer simply about producing more food. It is about producing more with fewer and less reliable inputs, under greater uncertainty, on land under increasing stress, and while reducing agriculture’s environmental footprint.
The tools that drove the Green Revolution were extraordinary, but they are not infinitely scalable. Synthetic fertilizers depend on energy-intensive production and supply chains that have proven fragile. Aquifers in key agricultural regions are being drawn down faster than they recharge. The yield gains from conventional intensification are flattening. There is no endless supply of cheap water, cheap fertilizer, or cheap fuel to sustain food production the way we have for the past half-century.
Smart farming is how we meet this new challenge. It enables farmers to produce more with fewer resources, make better decisions under uncertainty, and reduce agriculture’s environmental footprint. It is not a vision for the future. It is already happening.
The U.N. Food and Agriculture Organization’s (FAO) own operational programs demonstrate what is already possible. Our Desert Locust early warning system uses satellite imagery, weather data, and field intelligence to forecast outbreaks before they reach crops, giving governments time to act rather than simply respond. The SoilFER program is turning faster, more affordable soil mapping into actionable fertilizer recommendations for farmers in Central America and sub-Saharan Africa. The Hand-in-Hand Initiative combines geospatial, market, and socioeconomic data so governments and investors can direct agricultural investment where it will have the greatest return. These are not pilots. They are operational program with measurable outcomes—and they include AI-driven tools that forecast pest and disease pressure, analyze crop stress, and help governments make better decisions faster than was previously possible.
My own family’s seven-generation grain farm in rural Indiana today uses GPS-guided equipment, variable-rate fertilizer applications based on soil sampling, yield mapping, and real-time weather tools to make planting and harvesting decisions. The technology works. The question is who has access to it.
That is the central challenge. The benefits of smart farming currently concentrate among producers who already have the resources, connectivity, and institutional support to adopt new tools. Smallholder farmers—who produce a third of the world’s food—are too often last in line. Women farmers and young producers face additional barriers to technology and financing, which means the whole system underperforms when they are excluded.
At FAO’s Global Conference on Smart Farming in Rome from July 1 to 3, the commitments required are specific and clear. Governments need to modernize regulatory environments and invest in the digital infrastructure agriculture depends on. Development banks should finance data systems and precision agriculture as essential infrastructure rather than optional innovation. Private companies need business models that reach smallholders, not only large commercial farms. And organizations like FAO must ensure that technical knowledge becomes practical solutions farmers can actually use.
The fourth agricultural revolution is already underway. What remains to be decided is whether its benefits reach the farmers who need them most—or whether the gap between what is possible and what is accessible becomes permanent.
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Photo courtesy of Wang Kenan, Unsplash
