Research Topic · Peer-Reviewed

Precision Weed Management

Precision weed management applies site-specific technologies and data-driven methods to detect, map, and control weeds in agricultural systems, optimizing herbicide use and reducing environmental impact while maintaining crop productivity. Research published in this journal addresses both technological and biologica…

Curated from this journal's research 📚 2 peer-reviewed articles cited Cited 15× across the literature 🔖 ISSN 2998-1506 🗓 Reviewed June 2026

Overview

Precision weed management applies site-specific technologies and data-driven methods to detect, map, and control weeds in agricultural systems, optimizing herbicide use and reducing environmental impact while maintaining crop productivity. Research published in this journal addresses both technological and biological approaches to weed control challenges. One study examines automated detection systems for grassweeds in wheat cropping, reviewing current computer vision and machine learning techniques that enable real-time identification of weed species and assessing future developments in automated weed recognition technology. Another investigation explores alternative biological control strategies for parasitic weeds, specifically testing sesame seeds and diammonium phosphate as potential suppressants of Striga seed germination in sorghum production systems, measuring effects on both weed control and crop yield outcomes. This topic matters because weeds cause substantial yield losses globally, and traditional broadcast herbicide applications raise concerns about chemical resistance, environmental contamination, and production costs. Precision approaches promise to reduce herbicide volumes through targeted application, slow resistance development, and improve economic returns for farmers while addressing sustainability goals in modern agriculture.

Research published in this journal

2 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 2 articles above have been cited 15 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 Precision Weed Management, 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.