

To tackle these challenges, farmers and innovators across Latin America are turning to Artificial Intelligence (AI). New tools, ranging from predictive analytics and precision irrigation to image recognition and decision-support apps, are helping producers forecast their harvests, optimize resource use and increase yields. By leveraging data on climate, soil and crops, AI in Latin America’s agriculture offers a promising path to grow more food with fewer resources in the face of the changing climate.
Data-Driven Farming in Brazil Improves Yields
In Brazil, agri-tech startup Agrosmart is pioneering the use of AI to make farming more predictable and climate-smart. Launched in 2014, Agrosmart now supports more than 100,000 farmers across Latin America with real-time data on weather and soil conditions. The platform integrates on-farm sensors, satellite imagery and machine learning to guide decisions at every step of cultivation, from optimal seed planting dates to targeted irrigation and fertilizer use.
According to Agrosmart’s founders, this data-driven approach can reduce water usage by up to 60% and energy costs by 20%, while helping farmers maintain healthy yields. By adopting such AI analytics, growers are better able to anticipate weather patterns and crop needs, rather than relying on traditional almanacs or guesswork.
Agrosmart’s success reflects a wider digital revolution on Latin America’s farms. AI-powered decision tools are increasingly common, from drones that monitor crop health to smart cameras that identify weeds for precision herbicide spraying. These technologies boost productivity by detecting issues early and optimizing field management.
For example, Puerto Rico-based startup TerraFirma uses AI analysis of satellite images to forecast environmental risks like upcoming storms, crop diseases or soil erosion. By predicting such threats in advance, farmers can take preventive steps to protect their harvests. Overall, AI analytics are enabling Latin American producers to boost yields and reduce losses through more informed, proactive farm management.
“With the world’s population expected to reach nearly 10 billion by 2050, technologies like AI are humanity’s best hope for sustainable food production,” notes Agrosmart CEO Mariana Vasconcelos.
Precision Irrigation From Argentina to Chile
Water is another critical focus for AI in agriculture. Farms consume about 70% of global freshwater and up to 90% in developing countries. In drought-prone parts of Latin America, conserving water while keeping crops productive is a top priority.
Argentine startup Kilimo has risen to this challenge with an AI-powered irrigation management platform. Kilimo’s system analyzes data from satellites, weather forecasts and soil sensors to tell farmers when and how much to irrigate for optimal crop growth. By using machine learning to predict each crop’s water needs, the platform acts like a “smart irrigation advisor,” sending recommendations via an app or SMS even to remote fields.
This allows farmers to give crops enough water for top yields without waste. In practice, farmers using Kilimo have reduced their water consumption by up to 20% while maintaining (or even boosting) their yields. Over the past two years, Kilimo’s tool has helped save an estimated 72 billion liters of water (about 19 billion gallons) across several countries. The company now operates in seven Latin American nations, including Argentina, Mexico and Chile, reaching more than 2,000 farmers with its water-saving AI recommendations.
The impact of precision irrigation is best demonstrated in central Chile. In the Biobío region, an area facing seasonal water stress, farmers adopted smart irrigation systems equipped with IoT soil-moisture sensors. According to Chile’s Ministry of Agriculture, these data-driven systems precisely determine when and how much to water each crop, avoiding over-irrigation.
The results have been striking: farms using smart irrigation in Biobío cut water usage by up to 30%, yet saw crop yields increase by as much as 20% thanks to more efficient water delivery. This finding, echoed by the Inter-American Development Bank, shows that better water management directly translates into higher productivity. In addition, pumping less water saves energy and costs, a win-win for farmers’ finances and the environment.
Precision irrigation guided by AI is thus helping Latin American growers produce more food with less water. This innovation bolsters food security in increasingly dry growing conditions.
AI in Latin America’s Agriculture
Beyond climate and water management, AI-driven tools are improving many aspects of crop monitoring and harvest planning. In Chile, researchers at the University of Bío-Bío have developed an AI system using drones and image recognition to assist blueberry farmers. Drones periodically fly over the blueberry fields, capturing multispectral images of the plants at each growth stage.
An AI model analyzes these images and delivers real-time data via a mobile app, showing farmers the ripeness of their fruit across the field. This allows growers to pinpoint the optimal harvest time, ensuring berries are picked at peak maturity for quality and yield. The same system can automatically detect early signs of problems, alerting farmers to pest infestations or frost damage on the crop before those threats spread.
By acting as a constant set of “eyes” on the field, such AI vision technology helps farmers make faster, better-informed decisions that protect yields and reduce post-harvest losses. Similarly, other Latin American producers are using smartphone apps and sensors as digital field assistants. These range from apps that identify crop diseases from a photo to automated warning systems that activate when weather conditions favor a potential pest outbreak.
The Broader Impact
Each of these tools adds a layer of resilience for small farmers, who can respond to challenges in real time rather than suffer surprise crop failures. Crucially, these innovations contribute to a more secure food supply. Higher yields and efficient practices mean more stable production of staples like grains, fruits and vegetables.
Smart farming also promotes sustainability by minimizing inputs like water, fertilizers and chemicals, which helps preserve the natural resources that agriculture depends on. Development experts point out that embracing technology and climate-smart innovation is key to safeguarding Latin America’s agricultural future. A 2025 Inter-American Development Bank report highlighted digital agriculture as a tool to “improve yields and efficiency, protect natural capital and unlock the potential for a competitive, resilient development” in the region.
Governments and NGOs are increasingly partnering with tech firms to expand these solutions. These efforts range from national AI agriculture strategies to pilot programs that bring low-cost farm sensors to rural communities. With supportive policies and training, even more farmers can adopt AI-based services to enhance their productivity.
Final Remarks
The rise of AI in Latin America’s agriculture offers hopeful evidence that the region can meet its food security challenges through innovation. From Brazil’s big data platforms to Argentina’s water-saving apps and Chile’s smart irrigation networks, each success story represents a step toward a more predictable and plentiful harvest. Of course, scaling up these technologies to benefit smallholder farmers across diverse geographies remains a task ahead.
Nonetheless, as Latin America stands on the brink of this agricultural tech revolution, experts are optimistic. By carefully and inclusively implementing AI solutions, the region can cultivate a more sustainable and food-secure future. In the face of climate uncertainty, AI in Latin America’s agriculture is empowering farmers to not only predict their harvests but also to improve them, season after season.
– Elena Cárdenas
Elena is based in Monterrey, Mexico and focuses on Global Health for The Borgen Project.
Photo: Flickr









