Overview
Drones in precision agriculture refer to unmanned aerial vehicles equipped with sensors and imaging technology used to monitor, analyze, and manage agricultural operations with enhanced spatial and temporal resolution. Research published in Precision Agriculture examines how drone-based systems contribute to automated crop monitoring and management challenges. One significant application area involves the detection and identification of weeds within cereal cropping systems, where aerial imaging platforms enable discrimination between crop plants and unwanted vegetation that competes for resources. This work addresses the technical approaches currently employed for grassweed detection in wheat fields and explores the potential for future developments in automated recognition systems. The topic matters because timely and accurate field-level information allows farmers to make targeted interventions, reducing unnecessary herbicide applications, lowering input costs, and minimizing environmental impacts. Drone technology offers advantages over traditional ground-based scouting through rapid data collection across large areas and the ability to detect problems before they become visible to the human eye at ground level. As agricultural systems face pressure to increase productivity while reducing chemical inputs, drone-enabled precision management represents a practical tool for achieving these dual objectives.
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.
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2026 · Journal of the Indian Society of Remote Sensing
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Grishma Ojha et al. · 2025 · European Journal of Applied Science, Engineering and Technology
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Sandeep Chataut et al. · 2025 · European Journal of Applied Science, Engineering and Technology
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2025 · Deleted Journal
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2025 · Journal of the Indian Society of Remote Sensing
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2025 · Deleted Journal
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Saurabh Chalise et al. · 2024 · European Journal of Theoretical and Applied Sciences
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Grishma Ojha et al. · 2024 · European Journal of Theoretical and Applied Sciences
A sample of recent works citing this journal's research on Drones in Precision Agriculture, linking to each citing work.