Farmers aren’t data analysts but they’re expected to track hundreds of data points and present neatly structured data for regulators, insurance companies, and bankers. Dr. Sree Nilakanta, founder of Big Data In A Box says farmers enjoy the actual farming but the increasing demands of farm record keeping are becoming unbearable. That’s why he is building a solution.
Farm record keeping is a nuisance, logged on paper, and hours of work. And even when logged efficiently, farmers don’t have a way to structure the data in such a way to get meaningful data for themselves. Dr. Nilakanta’s low tech, conversational approach allows farmers an easy way to digitize their data, share select data with the correct entity, and gather useful data about their own farm they can use.
Small and mid-sized agricultural producers face an exhausting administrative workload driven by regulatory compliance and complex supply chain standards. According to Dr. Nilakanta, founder of Big Data In a Box, organic farmers must navigate roughly 82 USDA-accredited certifying agencies, each mandating distinct Organic System Plans. Growers are forced to track hundreds of data variables on paper notebooks, logging harvest hours, seed weights, sanitation, buffer zones, and crop rotations. “We love farming. We love the dirt in our hands. We are not interested in keeping track, writing it down, writing it down, and so forth,” Nilakanta said, noting that missing records can derail certifications during kitchen-table audits.
Hear from Iowans directly. No algorithms.
Don’t let the algorithms choose your news. Enter your email address to hear directly from Iowans leading news in politics, community, agriculture and business. No editing. No clickbait. No rage. No agenda.
Building a Living Digital Twin
To modernize this labor-intensive process, Nilakanta’s team engineered a mobile platform that constructs an interactive digital twin of the physical farm using geotagged photos and voice notes. Nilakanta framed the platform as a dynamic operating system: “If you consider the farm as a living organism, in effect, everything that happens on the farm, if we are able to monitor and measure, then I can keep a record of that in the cloud that corresponds to that farm, which is what we are doing.” Rather than requiring expensive surveillance hardware, the app captures seed invoices, field conditions, and yield metrics on the go.
AI Assistants and Streamlined Compliance
Under the hood, artificial intelligence converts casual field observations into structured, audit-ready databases while integrating decades of university extension research to guide seasonal planting decisions. “The inspector-based application will then have what we refer to as a flagging system,” Nilakanta explained, connecting growers directly to certifiers. This automated triage highlights discrepancies without requiring manual page-turning or exposing proprietary grower finances to third parties.