Research Topic · Peer-Reviewed

Artificial Intelligence in Precision Agriculture

Artificial intelligence in precision agriculture refers to the application of machine learning algorithms, computer vision, and automated decision-making systems to optimize crop management practices through data-driven analysis of field conditions, plant health, and environmental variables. Research published in Pr…

Curated from this journal's research 📚 1 peer-reviewed article cited Cited 13× across the literature 🔖 ISSN 2998-1506 🗓 Reviewed June 2026

Overview

Artificial intelligence in precision agriculture refers to the application of machine learning algorithms, computer vision, and automated decision-making systems to optimize crop management practices through data-driven analysis of field conditions, plant health, and environmental variables. Research published in Precision Agriculture examines how AI technologies enable automated detection and classification of agricultural challenges, including the identification of grassweeds in cereal cropping systems where distinguishing unwanted vegetation from crop plants requires sophisticated image analysis capabilities. These AI-driven approaches address the practical need for timely and accurate field monitoring that can inform targeted interventions such as site-specific herbicide application or mechanical weeding. The technology holds particular significance for sustainable agriculture by potentially reducing chemical inputs, lowering production costs, and minimizing environmental impact through precise resource allocation. Current research explores both the capabilities of existing detection techniques and the technical challenges that must be overcome to achieve reliable performance across varying field conditions, growth stages, and weed species. As computational power increases and training datasets expand, AI systems continue to evolve toward more robust and accessible tools for farmers seeking to enhance productivity while managing agronomic and environmental constraints.

Research published in this journal

1 peer-reviewed article, ranked by relevance. Each links to its DOI.

How this research is being cited

The 1 article above has been cited 13 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Artificial Intelligence in Precision Agriculture, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Precision Agriculture (ISSN 2998-1506).

This page summarises published research for orientation; it is not medical or professional advice.