A farmer in western India, contracted to supply a large food company, received a message through his field agent last season. His expected yield for the coming harvest had been estimated. The quality of his produce, based on the practices he had followed and the inputs he had applied, was likely to fall in a certain grade. And based on that grade, here is what he could expect to be paid.

He did not receive a black box number. He received an explanation. His field agent walked him through what the system had seen: the agronomic visits logged across the season, the satellite-verified crop health data, the input application records, the quality benchmarks from comparable farms in similar conditions.

He understood why the prediction said what it said. And when the harvest came in close to what had been forecast, something shifted. Not just his confidence in that particular system. His willingness to act on predictions in the future.

That shift, from scepticism to trust, is not automatic. It has to be earned. And in agriculture, it has to be earned the hard way.

https://www.thehindubusinessline.com/economy/agri-business/ai-is-turning-agriculture-into-a-predictive-industry-but-can-farmers-trust-the-predictions/article71457494.ece

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