AI adoption in agriculture and food sectors is critical for optimization, says Eazy Business Solutions MD

Artificial intelligence and digital data analysis are playing an increasingly important role in the agriculture and food sectors. According to Kunal Singhal, Managing Director of Eazy Business Solutions, any sector failing to adopt artificial intelligence is only delaying necessary operational improvements.

Speaking on technology integration, Singhal noted that farmers, manufacturers, distribution agents, and middlemen will all need to adopt digital tools. While historical data was often underutilized due to lower reading volumes and limited time spent on analysis, artificial intelligence now enables systems to generate pre-emptive alerts and actionable suggestions.

Eazy Business Solutions operates as a 360-degree business transformation solution provider, working with major food and agriculture brands including Phalada Agro, Ashok Masale, MDH, Bunge, General Mills, Pillsbury, and Priyagold. Founded in 2007, the company provides digital management solutions that help clients cut wastage, improve packaging, and enhance product traceability, particularly for pulse and spice manufacturers.

Singhal emphasized that organizations not adopting artificial intelligence risk further delaying work optimization. Although the pace of adoption among farmers is slower compared to other sectors, ongoing efforts by the government and private sector are shifting the landscape.

Discussing the government's digital agriculture mission, Singhal pointed out improvements in soil condition visibility, farm pocket mapping, crop suitability assessment, and water availability tracking. This enhanced information supports better land utilization, higher productivity, and appropriate crop selection for farmers. Additionally, aggregated data helps authorities determine suitable seeds and crops for specific geographies, factoring in weather forecasts and pesticide availability.

Digital supply chains and inventory management are also providing operational advantages. Certain companies have introduced transport route optimization to reduce reliance on specific truck availability. With improved tracking and visibility, businesses can identify product locations and sales points, which is crucial given the limited shelf-life of food and agricultural products. Digital tools assist in determining optimal inventory levels and selecting appropriate distributors.

Organized private players and startups are actively addressing supply-side challenges by connecting farms directly with manufacturers and educating farmers on crop rotation and land utilization. This public-private balance helps eliminate middlemen and improves pricing transparency for farmers.

Furthermore, the spread of technology in rural areas is encouraging younger generations to engage in farming by utilizing digital tools for planning, logistics, and weather forecasting.

"The integration of artificial intelligence and digital supply chain tools in agriculture highlights a broader shift toward operational efficiency in traditional sectors. As demonstrated by solutions providers working with major food brands, technology is no longer optional for minimizing wastage and optimizing inventory. For agritech startups and established enterprises alike, bridging the gap between digital infrastructure and grassroots implementation will be essential for long-term scalability and better economic returns for farmers." — Dr. Shishir Gupta, Founder & CEO, StartupLanes