Why India must use AI to save what it already grows
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Ms Rubal Chib
Contd from previous issue
Unlike yield-enhancing interventions, which often require behavioural change or new inputs, better quality assessment improves outcomes by improving coordination—helping the system act at the right time.
Equally important is the question of inclusion. For AI to serve the public good, it must be usable by small actors, not just large enterprises.
In India’s agricultural economy, that means tools that work within informal markets, support local languages, and complement human judgement rather than override it. Technologies that impose opaque recommendations will struggle to earn trust.
Those that augment decision-making, by making invisible information visible, are more likely to scale organically.
(To be contd)
Contd from previous issue
Unlike yield-enhancing interventions, which often require behavioural change or new inputs, better quality assessment improves outcomes by improving coordination—helping the system act at the right time.
Equally important is the question of inclusion. For AI to serve the public good, it must be usable by small actors, not just large enterprises.
In India’s agricultural economy, that means tools that work within informal markets, support local languages, and complement human judgement rather than override it. Technologies that impose opaque recommendations will struggle to earn trust.
Those that augment decision-making, by making invisible information visible, are more likely to scale organically.
(To be contd)