Overview
Remote sensing in precision agriculture refers to the use of sensors and imaging technologies, typically mounted on satellites, aircraft, or unmanned aerial vehicles, to collect spatial and temporal data about crops, soil, and field conditions without direct physical contact. This information enables farmers and agronomists to monitor crop health, detect variability within fields, and make targeted management decisions that optimize inputs and yields. Research published in Precision Agriculture on this topic addresses the application of remote sensing technologies to specific agricultural challenges, including the automated detection of grassweeds in wheat cropping systems. Such work examines how imaging techniques can distinguish unwanted vegetation from crops, supporting more precise herbicide application and weed management strategies. The development of automated detection systems represents a critical advancement in reducing labor costs, minimizing chemical use, and improving crop quality. As global agriculture faces pressure to increase productivity while reducing environmental impact, remote sensing technologies offer scalable solutions for monitoring large areas efficiently and implementing site-specific interventions that enhance both economic and ecological sustainability in farming operations.
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 Remote Sensing in Precision Agriculture, linking to each citing work.