From Conventional to Artificial Intelligence-Based Agriculture

In From Conventional to Artificial Intelligence-Based Agriculture, author Vivek Sharma details the ongoing structural evolution of agricultural practices from traditional field methods to advanced artificial intelligence solutions. The text establishes how modern computational frameworks assist contemporary agricultural operations in addressing production demands while supporting broader global food security goals.

The publication organizes its technical coverage around core machine learning applications across essential farming sectors. Primary thematic arcs detail precision farming frameworks, predictive climate modeling techniques, and automated crop health diagnostics. Further analysis explains systematic resource management protocols alongside targeted operational intervention strategies tailored for field management.

This volume offers structured conceptual guidance for academic researchers and practical farmers striving to establish resilient, highly productive, and sustainable farming systems. By integrating modern software tools into established field practices, the book provides a clear foundation for transitioning traditional agricultural operations toward data-driven methodology.