Dionisio Andujar Sánchez

Experience of Dionisio Andujar Sánchez

Dionisio Andújar is Tenured Scientist at the Centre for Automation and Robotics (CAR-CSIC) working on exploiting the advantages of innovative processing image analysis methods for precision agriculture purposes, with the main objective to propose new strategies that will optimize the agricultural application of inputs and autonomous guidance of agricultural vehicles. He has been the Principal Investigator of several national, European (H2020, EIT) and international projects. He has done international stays at the University of Hohenheim (Germany, Stuttgart), University of California and NIBIO (Norway), which produced several papers published in prestigious journals and several patents. He has received several prices during his research career. To date, his scientific activity has led to more than 200 international publications.

Email: d.andujar@csic.es

Category: Científico Titular

Position:  

Research Group: Artificial Perception (GPA)

H-Index (Scopus): 18

Articles by Relevance (Most Cited in Scopus)

Authors

Title

Year

Publication

Citations

Peteinatos G.G. Weis M. Andújar D. Rueda-Ayala V. Gerhards R.
Potential use of ground-based sensor technologies for weed detection
2014
Pest Management Science
55
Andújar D. Dorado J. Fernandez-Quintanilla C. Ribeiro A.
An approach to the use of depth cameras for weed volume estimation
2016
Sensors (Switzerland)
48
Fernandez-Quintanilla C. Pena J.M. Andújar D. Dorado J. Ribeiro A. Lopez-Granados F.
Is the current state of the art of weed monitoring suitable for site-specific weed management in arable crops?
2018
Weed Research
46
Andújar D. Rueda-Ayala V. Moreno H. Rosell-Polo J.R. Escola A. Valero C. Gerhards R. Fernandez-Quintanilla C. Dorado J. Griepentrog H.W.
Discriminating crop, weeds and soil surface with a terrestrial LIDAR sensor
2013
Sensors (Switzerland)
45
Andújar D. Ribeiro A. Fernandez-Quintanilla C. Dorado J.
Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops
2016
Computers and Electronics in Agriculture
44

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