Counterfeit Agri Inputs Threaten Farm Productivity and National Food Security

Former President Ram Nath Kovind has issued a blunt warning about a silent crisis in Indian agriculture. As reported by BusinessLine, Kovind told the FICCI-CASCADE MASCRADE 2026 conference that counterfeit agricultural inputs—especially pesticides—are adversely affecting ground productivity, harming farmers’ livelihoods, and ultimately undermining efforts to strengthen food and nutritional security.

A National Priority Under Threat

Kovind said improving agricultural productivity remains an important national priority as India’s farm yields are still lower than global standards. In this context, counterfeit inputs have far-reaching consequences. They don’t just reduce the effectiveness of genuine farm practices; they actively degrade soil health, reduce crop quality, and push farmers deeper into debt cycles. The economic cost extends beyond individual fields—it ripples through supply chains, food prices, and export competitiveness.

Business leaders should view this not as a niche agricultural issue but as a systemic risk. When farm-level productivity stalls, the downstream effects touch food processing, retail, logistics, and even rural consumption demand. A counterfeit pesticide bottle is not a standalone fraud; it is a breakdown in the chain of trust that supports an entire economic sector.

Beyond Cheap Imitations: The Trust Deficit

Kovind framed counterfeiting as more than just an economic nuisance. He described it as a form of deception that erodes trust across the economic system. Smuggling and counterfeiting gradually erode that trust, he said, emphasizing that “the entire economic system is based on trust.” This insight is critical for professionals across every industry: when customers cannot trust the inputs they buy, they become reluctant to invest in higher-quality products, modern equipment, or digital services. That hesitation stalls the very innovation agriculture needs to modernize.

“A counterfeit is therefore not simply a cheaper imitation. It is a deception, and when deception becomes widespread, trust begins to disappear.”

For agri-businesses, the message is clear: anti-counterfeiting is not a legal afterthought but a core business strategy. Protecting authenticity protects market share, brand equity, and long-term customer loyalty.

The Security and Collaboration Imperative

FICCI CASCADE Chairman Anil Rajput added further urgency to the discussion. He argued that the fight against illicit trade should not be seen only through the lens of revenue loss—it is also a security imperative. Rajput called for collaboration across governments, enforcement agencies, industry, and citizens to turn intelligence and cooperation into action. This means shared databases, coordinated crackdowns, and public reporting channels that make counterfeit trade riskier and less profitable.

The security angle is especially relevant for India’s food supply chain. Counterfeit pesticides and fertilizers can introduce unknown chemical residues into crops, posing risks to consumer health and export compliance. Treating agricultural input fraud as a security issue elevates it from a routine compliance matter to a national resilience priority.

What This Means for Indian Agriculture and Productivity

The consequences of counterfeit agri inputs are multifaceted and mutually reinforcing:

• Reduced yield per hectare: Fake pesticides and fertilizers fail to deliver promised protection or nutrition, directly lowering crop output.
• Farmer distress: Loss of income from failed crops pushes smallholders into debt and discourages investment in future seasons.
• Food safety risks: Unknown and unregulated chemical compositions can contaminate produce and harm consumers.
• Market distortions: Genuine manufacturers lose revenue and may reduce R&D spending, slowing the development of better inputs.

Because India’s farm yields lag global benchmarks, every counterfeit package represents a missed opportunity to close that gap. Improving productivity is impossible if the basic tools of productivity are compromised.

General Industry Perspective: How AI and Digital Tools Can Help

While the source article focuses on policy and trust dimensions, technology offers practical levers for detection and prevention. Industry analyses conducted by AI Consultant & Training Institute suggest that AI-powered image recognition can scan pesticide packaging for authentication markers, while cloud-based traceability platforms can track batches from manufacturer to retailer. SaaS solutions for supply chain monitoring can flag suspicious distribution patterns in real time, and chatbot interfaces can help farmers verify product authenticity via WhatsApp or mobile apps. These tools do not replace regulatory enforcement, but they make collaboration faster and intelligence more actionable.

From Awareness to Action

Consultants at AI Consultant & Training Institute note that organizations should treat counterfeit detection as a data problem, not just a compliance problem. Building a verified product database, training farmers to use mobile verification, and integrating AI into procurement audits can reduce the asymmetry of information that counterfeiters exploit. These steps align with Kovind’s broader call to protect trust in economic systems—because verifiable authenticity is the operational foundation of trust.

Professionals building a career in agricultural technology will find growing demand for skills in AI, cloud infrastructure, and SaaS product development focused on supply chain integrity.

Actionable Steps for Stakeholders

1. For agri-input manufacturers: Implement QR-code-based product authentication and partner with e-commerce platforms to delist counterfeit sellers.
2. For policymakers and enforcement agencies: Create regional counterfeit intelligence cells that pool data from customs, police, and industry bodies.
3. For farmer cooperatives and NGOs: Run digital literacy campaigns that teach farmers how to verify product authenticity using mobile tools.
4. For agritech startups and professionals building a career in agricultural technology: Build low-cost AI models for packaging verification and offer them as SaaS to farmer cooperatives.

Conclusion

Kovind’s warning is a call to treat farm productivity as a trust problem. Counterfeit inputs don’t just steal a season’s yield; they corrode the confidence that makes modern agriculture possible. As AI and cloud tools mature, the opportunity to restore that confidence is real. The question is whether stakeholders will move from isolated efforts to coordinated action.