In an agtech landscape often dominated by venture capital and experimental technologies, Agrofocal stands out for a different reason: it builds artificial intelligence tools that fit seamlessly into the way farms already operate.
Founded in 2021 by Avinash Sodani, Agrofocal is a crop monitoring and yield forecasting company focused on delivering realtime insights without requiring growers to overhaul their infrastructure, or their daily routines. Rather than chasing rapid scale through venture capital, the company has taken a deliberate path, funding its development through a U.S. Department of Agriculture (USDA) small business grant and maintaining close alignment with grower needs from day one.
At the core of Agrofocal’s offering is an AI-powered crop monitoring and forecasting system that collects and processes data directly in the field. The system relies on a compact, flexible datacollection device that can be mounted on virtually anything that moves through the farm: from tractors and trucks to handheld rigs. For large acreage, the device can even be mounted to a drone, allowing rapid coverage across wide areas.
This versatility is intentional. By integrating into existing equipment and workflows, Agrofocal eliminates one of the most common barriers to agtech adoption: disruption. Growers do not need to invest in specialized vehicles, rebuild their operations or retrain teams extensively to benefit from the technology.
Just as important, Agrofocal works without internet connectivity. Data is processed in real time, directly on the device, making the system reliable in rural and remote growing regions where connectivity is inconsistent or unavailable. Insights are then delivered to growers through a simple mobile app on their existing smartphones, keeping the experience intuitive and accessible.
Agrofocal’s platform provides realtime yield forecasting with up to 90 percent accuracy, giving growers actionable intelligence during the growing season-not after harvest, when decisions are already locked in. This enables proactive management, from labor planning and harvest timing to operational adjustments that can protect yield and quality.
The system supports a growing list of specialty crops, including strawberries, table grapes, wine grapes, almonds and citrus, with plans to expand to additional crops in the future. By using mass-market components rather than bespoke hardware, Agrofocal keeps costs manageable while ensuring the technology can scale across different farm sizes and regions.
Agrofocal’s success is rooted in a deceptively simple idea: technology should adapt to the farm, not the other way around. By working with existing farm infrastructure, functioning offline and delivering insights in a familiar mobile format, the company has removed much of the friction that traditionally slows agtech adoption.
This approach reflects Sodani’s commitment to solving practical problems rather than showcasing technical complexity. The result is a system that feels less like a futuristic add-on and more like a natural extension of daily farm operations.
Growers and industry partners can see Agrofocal’s technology at work through a demonstration video available on the company’s homepage at agrofocal.ai.