International Journal of Agriculture Environment and Biotechnology
  • Year: 2025
  • Volume: 18
  • Issue: 1

Application of GNSS in Agriculture and Horticulture

  • Author:
  • Akash Pawar1,*, Sachin Pathak1, Prashant Shahare2
  • Total Page Count: 7
  • Published Online: Oct 28, 2025
  • Page Number: 67 to 73

1Department of Farm Machinery and Power Engineering, College of Agricultural Engineering and Technology, Dapoli, Maharashtra, India

2College of Agricultural Engineering and Technology, Dapoli, Maharashtra, India

*Corresponding author: akashpawar.8298@gmail.com

Paper No. 1205

Abstract

Precision agriculture and horticulture have been transformed by Global Navigation Satellite Systems (GNSS), which make it possible to precisely monitor, map, and manage agricultural fields. From crop management and irrigation to yield monitoring and soil sampling, GNSS guarantees accurate and effective resource use. Variable rate technology (VRT), nutrient management, and soil moisture prediction have advanced uses for GNSS technologies such as Real-Time Kinematic (RTK) and interferometric reflectometry. By integrating with robotics and remote sensing, GNSS improves autonomous operations and environmental monitoring in orchards and vineyards. With its unmatched accuracy, efficacy, and affordability, GNSS is also essential for land surveying and planning. Innovation is being fueled by the combination of GNSS with other technologies such as UAVs, LiDAR, and GIS, which is converting conventional farming methods into sophisticated, sustainable systems. This study emphasizes the various ways that GNSS is used in horticulture and agriculture, highlighting how important it is to the advancement of contemporary farming methods.

⓿ GNSS enables precise field mapping, crop management, and resource optimization.

⓿ RTK and reflectometry support VRT, nutrient, and soil moisture management.

⓿ Integration with UAVs, LiDAR, and robotics enhances automation and monitoring.

⓿ GNSS is key to smart, sustainable, and efficient modern farming.

Keywords

GNSS Technology, Precision Agriculture, Artificial Intelligence, Farm Management