Papers
12
Total Citations
1,026
H-Index
10
About
J. Blasco is a pioneering researcher in agricultural automation, whose work sits at the intersection of computer vision, machine learning, and precision agriculture. Over more than two decades, Blasco has made transformative contributions to the automated inspection and quality grading of fruit and vegetables, developing intelligent systems that replace labor-intensive manual sorting with fast, accurate, and objective machine-based assessment. His landmark 2003 paper on machine vision for fruit quality grading has accumulated 332 citations, establishing foundational methodologies still referenced today, while his early work fusing color imaging with spectrophotometry for sugar content prediction demonstrated remarkable foresight about sensor integration. Blasco's research has progressively scaled from laboratory inspection systems to fully operational field robotics. His development of RobHortic and the Xf-Rovim robot platforms — designed to detect pests, diseases, and pathogens like *Xylella fastidiosa* using proximal hyperspectral and multispectral sensing — represents a significant leap toward autonomous crop monitoring. His 2016 review of citrus inspection systems (132 citations) and his broader contributions to Industry 4.0 agri-food applications underscore his role as both an innovator and a synthesizer of the field. With a body of work spanning sensors, robotics, and computer vision, Blasco's research continues to shape the modernization of global food production systems.
Research Focus
Key Achievements
Top Papers
- 1Machine Vision System for Automatic Quality Grading of Fruit332 citations · 2003
- 2AE—Automation and Emerging Technologies149 citations · 2002
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- 7Computer vision applied to food and agricultural products49 citations · 2020
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