Ali (2025) Remote Sensing and GIS Applications in Vineyard Zoning and Yield Prediction

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: International Journal of Environment and Climate Change
• Year: 2025
• Date: 2025-11-25
• Authors: Mohammed Umar Ali
• DOI: 10.9734/ijecc/2025/v15i125143

Research Groups

Not specified in the provided text.

Short Summary

This paper reviews current remote sensing technologies and vegetation indices utilized in viticulture, detailing their underlying principles, platforms, and diverse applications for vineyard management and decision-making.

Objective

• To compile current vegetation indices and describe various sensing technologies, along with their platforms and applications, used in viticulture for improved vineyard management.

Study Configuration

• Spatial Scale: Varies from proximal (e.g., handheld, ground-based) to remote (e.g., satellite, aircraft, unmanned aerial vehicles), covering individual vines to entire vineyards (ranging from meters to kilometers).
• Temporal Scale: Not explicitly defined, but implied to cover vineyard growing seasons and management cycles, allowing for repeated monitoring over time.

Methodology and Data

• Models used: The paper describes various sensing technologies and their underlying principles, rather than specific computational models. These include:
  • Spectroscopy
  • Multispectral and Hyperspectral Imaging
  • Thermography
  • Electrical Resistivity
  • Laser Imaging Detection and Ranging (LiDAR)
  • Computer Vision
  • Chlorophyll Fluorescence
  • Vegetation Indices (VIs)
• Data sources: Imagery and data obtained from remote sensing platforms (satellites, aircraft, unmanned aerial vehicles) and proximal sensing devices.

Main Results

• A comprehensive compilation of current vegetation indices used in viticulture is presented.
• Detailed descriptions of various sensing technologies applicable to vineyards are provided, including their principles, spatial resolution variations, data acquisition costs, and suitability for specific management goals.
• The paper discusses typical platforms for these technologies, enabling both proximal and remote monitoring.
• Key applications of these technologies in viticulture are identified, including crop forecasting, yield and fruit composition assessment, vineyard sampling, targeted management, monitoring vegetative growth and canopy architecture, assessing nutrient and water status, detecting pests and diseases, and analyzing soil and topography.
• The potential of these technologies for grape farmers is highlighted, alongside the recognition that widespread field-scale acceptance requires user-friendly devices, software, and reasonable prices.

Contributions

• Provides a consolidated review of diverse remote sensing technologies and vegetation indices specifically tailored for viticulture, bridging the gap between advanced sensing and practical vineyard management.
• Explains the underlying principles of various sensing technologies, making complex information accessible for application in precision agriculture.
• Identifies and categorizes a wide range of applications for these technologies in vineyards, offering a valuable resource for winemakers and grape farmers.
• Highlights critical challenges for the future adoption of these technologies, emphasizing the need for user-friendly and cost-effective solutions.

Funding

Not specified in the provided text.

Citation

@article{Ali2025Remote,
  author = {Ali, Mohammed Umar},
  title = {Remote Sensing and GIS Applications in Vineyard Zoning and Yield Prediction},
  journal = {International Journal of Environment and Climate Change},
  year = {2025},
  doi = {10.9734/ijecc/2025/v15i125143},
  url = {https://doi.org/10.9734/ijecc/2025/v15i125143}
}