Stefano Marino

University of Molise

Papers

1

Total Citations

60

H-Index

1

About

Stefano Marino is a leading researcher in precision agriculture and digital farming, with a focus on the integration of advanced sensor technologies and data fusion methods to enhance site-specific crop monitoring. His most-cited work, "Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring" (2022, 60 citations), provides a comprehensive framework for merging multi-source data—from remote sensing to in-field sensors—to optimize agricultural decision-making. Marino’s key contributions lie in demonstrating that the success of these systems hinges on precise parameter collection, robust modeling adoption, and seamless technology integration. His research bridges the gap between theoretical data science and practical agronomic application, offering scalable solutions for sustainable crop management. By addressing the critical interplay between hardware and analytics, Marino has helped shape modern approaches to real-time, high-resolution monitoring in agriculture. His work is widely cited by both agronomists and computer scientists, reflecting its interdisciplinary impact. Through his innovative fusion strategies, Marino continues to advance the frontier of smart farming, enabling more efficient, data-driven responses to global food production challenges.

Research Focus

Key Achievements

1
H-Index
1
Papers
60
Total Citations
60
Avg Citations/Paper
🏆 Most Cited Paper
Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring
60 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Molise

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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