A5002375377- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Soil and Environmental Studies
- Leaf Properties and Growth Measurement
- Land Use and Ecosystem Services
- Water Quality Monitoring Technologies
- Remote Sensing and LiDAR Applications
University of Bologna
2024
Remote sensing vegetation indices play a vital role in agricultural zoning by providing detailed insights into crop health, productivity, and environmental conditions. They enable researchers professionals to monitor changes, urban expansion, natural events with exceptional accuracy precision. This progress has been fueled major technological developments satellite sensors, data processing algorithms, analytical methods, enabling the capture of more information increased observation...
This paper presents the development and update of a multi-scale yield prediction model for processing tomatoes. The study was carried out under EU-funded programme “Support to Development Rural Business Information System (RBIS)”, performance updated crop-specific models their generated predictions at regional national levels are presented. built using Sentinel-2 satellite imagery obtain cumulative values six (6) selected vegetation indices (VIs). data were collected on five (5) different...