Drones in Precision Agriculture

Overview

Drones are becoming increasingly popular tools in precision agriculture, owing to their versatility and efficiency in performing numerous tasks. They are capable of providing detailed imagery and data about soil, crops, and other conditions in a farm. Precision agriculture is a data-driven approach to managing agricultural resources and maximizing the yield of crops. Drones provide farmers with valuable insights about the condition of their crops to help them make informed decisions on irrigation, fertilization, and other management practices. Additionally, drones can be used for crop surveillance to detect pests, weeds, and diseases, as well as for assessing crop health and yield. Farmers can use this information to optimize their operations and improve the sustainability of their farms. As such, drones are powerful tools that help farmers improve the productivity and profitability of their farms.

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.

• Support Vector Classification Applied to Wheat and Ryegrass Spectral Signatures Discrimination: Dimensionality Reduction Analysis
  2026 · Journal of the Indian Society of Remote Sensing
• Transformer vs CNN: A Comparative Study of Wheat Spike Detection Under Field Conditions
  Grishma Ojha et al. · 2025 · European Journal of Applied Science, Engineering and Technology
• Generative Artificial Intelligence in Healthcare: A Systematic Review of GANs, Diffusion Models, Large Language Models, and Variational Autoencoders for Medical Applications
  Sandeep Chataut et al. · 2025 · European Journal of Applied Science, Engineering and Technology
• Generative Artificial Intelligence in Healthcare: A Systematic Review of GANs, Diffusion Models, Large Language Models, and Variational Autoencoders for Medical Applications
  2025 · Deleted Journal
• Support Vector Classification Applied to Wheat and Ryegrass Spectral Signatures Discrimination: Dimensionality Reduction Analysis
  2025 · Journal of the Indian Society of Remote Sensing
• Transformer vs CNN: A Comparative Study of Wheat Spike Detection Under Field Conditions
  2025 · Deleted Journal
• Mind-Controlled Mobility Solutions Utilizing Electroencephalogram-Based Brain-Machine Interfaces
  Saurabh Chalise et al. · 2024 · European Journal of Theoretical and Applied Sciences
• Comparative Analysis of Transformer-Based and CNN Models for High-Throughput Wheat Head Detection
  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.

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

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