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A Perspective on Blockchain in Agriculture

A Perspective on Blockchain in Agriculture

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Old fields, new code (0 :11) – Agriculture’s millennia-old practices meet blockchain, AI and large-language models, creating a “beautiful tension” between tradition and disruption.

Why blockchain hooked a lawyer (1 :14) – Nikolet, an agribusiness lawyer of 27 years, feared tech might make her redundant—until an Oxford course revealed it could replace intermediaries and widen partnerships.

Blockchain 101 (2 :57) – Think “internet for value”: a replicated ledger + smart contracts (“if A, then B”) record transactions immutably, slashing fraud and cost.

Tech is a calculator, not a saviour (5 :40) – Seed firms already sink 25 % of turnover into biotech; blockchain and AI are simply next-gen calculators that amplify whoever wields them. With smartphones, even remote farmers can now learn and trade globally.

AI joins the toolbox (8 :48) – Cross-sector language models link medicine, satellites and agronomy, helping tackle “wicked” interconnected problems at digital speed.

Use-case: World Food Programme iris wallets (10 :23) – Scanning refugees’ eyes loaded instant budgets, cut red tape 98 %, and proved how identity-free value transfer can work for seed access and micro-finance.

Cracking Africa’s “commercially infeasible” label (12 :40) – Trustless ledgers de-risk lenders, open vast untapped commodity markets and let smallholders pay after harvest without predatory loans.

Adoption hinges on UX, not jargon (13 :55) – Farmers don’t ask about code; they tap an app. Voice-activated interfaces in local languages can reach illiterate women (80 % of Africa’s growers).

Tech stack synergy (15 :50) – Satellites & drones verify fields; AI analyses data; blockchain moves value. Sustainable impact needs the whole stack at once.

Keep the trusted middle (18 :05) – Instead of deleting intermediaries, Nikolet models systems where a local aggregator (seed dealer, teacher) wields the digital tool, blending existing trust with trust-less tech.

Privacy & shared gains (20 :45) – Aggregated farm data feeds research without exposing individuals; value flows back through cooperative blockchain entities spun up in minutes.

Future outlook (22 :52) – The coming wave is mixed tech: precision sensors, AI analytics, blockchain ledgers and micro-insurance—adopted fastest by youthful, mobile-first African populations.

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