Manuel Vazquez Arellamo
Papers
1
Total Citations
6
H-Index
1
About
Manuel Vazquez Arellamo is a leading researcher in agricultural robotics and precision phenotyping, with a focus on integrating 3-D sensing technologies into real-world farming environments. His work centers on the development of non-invasive, high-throughput methods for crop monitoring, particularly using consumer-grade time-of-flight cameras to reconstruct geo-referenced plant models. His most-cited paper, "Reconstruction of geo-referenced maize plants using a consumer time-of-flight camera in different agricultural environments" (2016), demonstrates how affordable 3-D sensors can capture detailed structural data of maize plants across varied field conditions—a critical step for enabling autonomous agricultural robots, improving farm management decisions, and accelerating crop breeding programs. By bridging the gap between low-cost hardware and robust phenotyping, Vazquez Arellamo has contributed to making precision agriculture more accessible and scalable. His research has garnered attention for its practical applications in linking genotype to phenotype, and his work continues to influence the design of robotic systems that can operate effectively in unstructured agricultural settings.
Research Focus
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Top Papers
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