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30 Nov A paper of imaPing Group (IAS-CSIC) has been well considered by “Advances in Engineering”

A paper of the research group led by Dr. Francisca López-Granados [imaPing Group (IAS-CSIC)] published in Expert Systems with Applications journal, has been well considered by Advances in Engineering (AIE) for its contribution in the scientific and engineering research: http://bit.ly/2fPAPiZ AIE has identified your peer-reviewed…

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10 Nov Ana Isabel de Castro Megías, awarded with the “José Luis Labrandero” Prize by the Remote Sensing Spanish Association

PhD. Ana Isabel de Castro Megías of imaPIng Group – Applied Remote Sensing for Precision Agriculture and Weed Science, IAS-CSIC Crop Protection Department, has been recently awarded with “José Luis Labrandero” Prize by the Remote Sensing Spanish Association (AET). This prize, awarded by this association…

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09 Jul Drones to monitor 3D woody crops and measuring the area, height and volume of trees

ImaPing Research Group (www.ias.csic.es/en/imaping), led by Dr. Francisca López-Granados of the Institute for Sustainable Agriculture from Cordoba, a center of the Spanish National Research Council-CSIC, has developed an innovative method for measuring three-dimensional geometric data (area, height and volume) tree in woody crops from aerial…

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18 Jun IMAPING Research Group of the Institute for Sustainable Agriculture – CSIC, awarded in ExpoMilano 2015

IMAPING Research Group (Remote Sensing for Precision Agriculture and Weed Science) of the Institute for Sustainable Agriculture – CSIC (Spanish National Research Council) in Cordoba, Spain (www.ias.csic.es/en/imaping), received last June 4th the “Challenges Project” Award of the Agriculture, Food and Environment Spanish Ministry” (MAGRAMA) within…

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31 Mar How to reduce herbicides application and improving crop fields management using images from UAV

A research managed by the IMAPING Group (Institute for Sustainable Agriculture, CSIC-Spanish National Research Council-Córdoba, Spain) in which Dra. Kelly has also participated (University of California-Berkeley-USA), has made possible the weed mapping in early season using multispectral and ultra-high spatial resolution imagery from an Unmanned…

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