AI-Driven Innovations in Soil Management, Crop Productivity, and Autonomous Agricultural Vehicles

Title

AI-Driven Innovations in Soil Management, Crop Productivity, and Autonomous Agricultural Vehicles

Creator

Pandey, Ananya

Description

The incorporation of Artificial Intelligence (AI) into agriculture is escalating significant transformations in essential areas like soil management, crop yield enhancement, and self-operating farming vehicles. This chapter examines the ways in which AI-driven tools-such as machine learning algorithms, remote sensing technologies, robotics, and autonomous systems-enhance decision-making processes, optimize resource utilization, and contribute to environmental sustainability. With AI, it is possible to carry out accurate diagnostics of soil health, predictive irrigation and fertilization, early detection of diseases, and real-time monitoring of crops. Moreover, AI-enabled self-driving vehicles are transforming the world of mechanized agriculture by providing efficient planting, spraying, and harvesting. This chapter offers a detailed examination of these innovations, assesses their practical uses, and deliberates on the consequences for farmers, researchers, and policymakers. It also underscores the ethical, infrastructural, and socio-economic challenges linked to the use of AI in agriculture. 2026, IGI Global Scientific Publishing. All rights reserved.

Source

Global Societal Resilience Through Political, Environmental, and Cultural Upheaval;pp.1-22

Date

01-01-2025

Publisher

IGI Global

Coverage

Pandey A., Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833735653-2; 979-833735651-8;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3373-5651-8.ch001

https://www.scopus.com/pages/publications/105026146312?origin=resultslist