Why India must use AI to save what it already grows
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Ms Rubal Chib
Contd from previous issue
The crisis is not one of production, but of preventable loss. This loss is not the result of scarcity, but of misalignment—between harvest and consumption, between data and decision-making.
For years, the absence of reliable, real-time information about quality and timing have posed a challenge for Indian farmers and regulators. Artificial intelligence, when designed for Indian conditions, offers a way to close this gap.
This gap between biological reality and economic decision-making is where applied AI can deliver disproportionate impact.
(To be contd)
Contd from previous issue
The crisis is not one of production, but of preventable loss. This loss is not the result of scarcity, but of misalignment—between harvest and consumption, between data and decision-making.
For years, the absence of reliable, real-time information about quality and timing have posed a challenge for Indian farmers and regulators. Artificial intelligence, when designed for Indian conditions, offers a way to close this gap.
This gap between biological reality and economic decision-making is where applied AI can deliver disproportionate impact.
(To be contd)