AI for Agriculture Innovation (AI4AI)
To scale deep-tech agriculture solutions globally and impact 2 million farmers, including 30% women through community-led transformation by 2028.
Deep Tech Interventions
Seven promising deep-tech domains as pivotal for tackling current and future agricultural challenges.
Generative AI
Generative AI is unlocking powerful new use cases in agriculture from personalized farmer advisory and precision pest management to advanced agentic AI systems and climate risk simulations. Its growing impact is driven by rapid advancements in large language models (LLMs) alongside increasing availability of agricultural data.
However, despite this momentum, a key challenge remains. The lack of high-quality, hyperlocal data limits the ability to build accurate, context-specific models - creating a gap between potential and real-world usability.
Edge internet of things (IoT)
Computer vision
Satellite-enabled remote sensing
Robotics
CRISPR
Nanotechnology
Efficient Agri Supply Chains
Reimagining farm-to-market systems to reduce losses, improve transparency, and ensure farmers get better value for their produce.
Climate Resilience & Natural Resource Sustainability
Building future-ready agriculture by strengthening resilience to climate shocks while protecting water, soil, and biodiversity.
Technology for Women in Agriculture
Empowering women in agriculture by unlocking private sector to invest in women as users of tech and channels for delivery.
At Digital Green, we are enabling an approach that integrates human inputs alongside machine learning approaches to finetune and contextualize AI models. This isn’t a one-time activity, but something that should be continuous as agriculture keeps evolving.
Alesha Miller
Chief Strategy Officer, Digital Green
At Mahindra Agribusiness, we recognize that improving water use efficiency is central to securing the future of farming. Deeptech innovations through IoT-enabled irrigation, AI-based water analytics or satellite monitoring can support farmers with precise insights that optimize every drop. These solutions improve productivity, reduce input costs and safeguard groundwater & strengthen resilience against climate change.
Ramesh Ramachandran
Ramesh Ramachandran, Chief Executive Officer, Agribusiness, Mahindra Group
Deep tech offers agriculture the critical breakthrough it urgently needs. By integrating AI, remote sensing and data science, we can transform fragmented farming systems into resilient, productive and climate-smart ecosystems. At Cropin, we believe that advancing deep-tech use cases in agriculture is not just an opportunity but a necessity to ensure food security in the face of climate change and natural resource degradation.
Krishna Kumar
Chief Executive Officer, Cropin Technologies
Edge IoT has the potential to unlock transformative opportunities for smallholder farmers in low- and middle-income countries. By processing data closer to the source, farmers can access realtime insights on soil health, weather and irrigation without relying on costly connectivity or cloud infrastructure.
Daniele Tricarico
Head of Emerging Tech and Central Insights, GSMA
By providing talent pipelines, testing grounds and thought leadership, universities help accelerate the journey from discovery to deployment. Deep tech flourishes where rigorous inquiry meets practical collaboration – and academia is the catalyst that makes this possible.
Dimitrios Salampasis
Associate Professor, Emerging Technologies and Fintech, Swinburne University of Technology