Following the meeting between Dutch Prime Minister Dick Schoof and Indian Prime Minister Narendra Modi on the sidelines of the India AI Impact Summit, Marion van Schaik, Agricultural Counsellor for India at the Embassy of the Kingdom of the Netherlands, outlined how bilateral cooperation in artificial intelligence could help transform farmers’ livelihoods.
Speaking on the sidelines of the AI 4 Agri 2026 summit, van Schaik said the partnership will move beyond conventional approaches by integrating diverse data streams, combining satellite imagery with on-ground field data to predict plant diseases, enhance productivity, and lower input costs. She noted that while AI has been in use for years, its application in agriculture is poised to expand considerably.
Research institutions like Wageningen University will focus on breeding new crop varieties adapted to climate change, which AI can facilitate.
Van Schaik emphasised that advanced technologies do more than improve yields, they also strengthen sustainability through targeted interventions, such as using fewer pesticides. She added that integrating AI into market logistics could bridge the gap between rural producers and urban demand by connecting farmers directly to markets, accelerating negotiations, and better aligning supply with demand.
The remarks indicates a gradual move from isolated agritech pilots to more coordinated, government-supported use of AI across the agricultural value chain. Instead of concentrating only on farm productivity, the collaboration highlights the integration of satellite imagery with on-ground data to improve crop monitoring, input efficiency, logistics, and market access within a connected digital system.
Linking Farms to Markets
Marion van Schaik went on to add that the integration of artificial intelligence into agriculture is not limited to farm-level interventions but extends across the entire value chain. She noted that automating price discovery and streamlining negotiations, the technology aims to ensure farmers receive a fairer share of market value, while improved logistics systems can consdierably reduce post-harvest losses and food waste.
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She emphasized that stronger digital linkages between producers and markets would help align supply with demand more efficiently, ultimately improving incomes and strengthening supply chain resilience.
The collaboration is strongly anchored in academic expertise, with Wageningen University & Research playing a central role in driving the research agenda. The emphasis is now on future-proofing crops to withstand increasingly volatile weather patterns affecting both Europe and South Asia. Van Schaik noted that artificial intelligence serves as the primary catalyst in this effort, enabling predictive insights and data-driven innovations to build more resilient agricultural system.
The discussion around automating price discovery and improving logistics indicates recognition that farmer income challenges are not only agronomic but structural. If implemented effectively, AI-enabled market linkages could reduce inefficiencies in aggregation and distribution, though execution at scale across smallholder systems will remain the real test.
Scaling AI in Agriculture
For Van Schaik the agritech pact represents a gradual scaling up of AI in agriculture, moving beyond isolated pilots toward coordinated, institutional cooperation. She underscored that integrating satellite imagery with field-level data is central to improving productivity while advancing sustainability goals, including precision pesticide use and stronger climate resilience.
The emphasis on market linkages and price discovery is notable, as it recognises that farmer incomes depend not only on yields but also on efficient logistics and fair market access. With research support from Wageningen University, the collaboration appears grounded in applied science, though large-scale implementation across smallholder systems will determine its real impact.
The success of partnership will depend on how effectively research insights translate into field-level adoption and market integration. If institutional coordination, data sharing, and farmer outreach are managed well, the collaboration could serve as a practical model for cross-border digital agriculture initiatives. The real measure of success, however, will lie in measurable income gains and resilience outcomes for farmers rather than technological deployment alone.
