Paolo Menesatti

Papers

Total Citations

163

H-Index

About

Paolo Menesatti is a leading figure in agricultural and environmental engineering, whose work bridges the gap between advanced sensor technologies and biological systems. His research centers on plant phenotyping, precision agriculture, and the application of non-invasive imaging and spectroscopic techniques to assess crop health and quality. Menesatti is best known for pioneering the use of digital technologies—such as hyperspectral imaging and computer vision—to quantify plant traits, enabling more efficient and objective selection in breeding programs. His highly cited 2019 paper, "Plant Phenotyping Research Trends, a Science Mapping Approach" (163 citations), provides a comprehensive bibliometric analysis of the field, mapping its evolution and identifying key research frontiers. Beyond phenotyping, he has made significant contributions to food quality assessment and environmental monitoring, often integrating machine learning with sensor data. With a career spanning hundreds of publications, Menesatti’s work has profoundly influenced how researchers and agronomists understand the interplay between genetics, environment, and crop management, driving the shift toward data-driven, sustainable agriculture.