Free book preview

AI in Agriculture: Revolutionizing Farming for a Sustainable Future

This is a governed preview built from the book’s published description and learning points. It is not presented as a chapter when no chapter sample is available in the website source.

AI is used in agriculture for crop monitoring, precision farming, weather risk, yield forecasting, and decisions made with mud on the boots. This one stays close to the hard realities inside Agriculture, especially where weather, margins, and soil matter.

What does this preview cover?

It covers the main use cases, the workflow and data changes behind them, the claims worth taking seriously, and the governance questions that show up once AI starts steering decisions in Agriculture.

What questions does the full book tackle?

• Where AI is already being used in agriculture today — and where weather, margins, and soil matter.
• The useful detail sits here: yield data, labour, and seasons.
• Key themes including agriculture, artificial intelligence, ai trends.
• The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.

Because decisions in Agriculture affect yield, waste, labour pressure, and sustainability. Once AI enters the loop, sloppy assumptions get expensive very quickly.