Author of the publication

Assessing the Performance of RGB-D Sensors for 3D Fruit Crop Canopy Characterization under Different Operating and Lighting Conditions.

, , , , , , , and . Sensors, 20 (24): 7072 (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Remote Sensing Imaging as a Tool to Support Mulberry Cultivation for Silk Production., , , , , , and . Remote. Sens., 14 (21): 5450 (2022)Use of Multispectral Airborne Images to Improve In-Season Nitrogen Management, Predict Grain Yield and Estimate Economic Return of Maize in Irrigated High Yielding Environments., , and . Remote. Sens., 10 (4): 543 (2018)Assessing ranked set sampling and ancillary data to improve fruit load estimates in peach orchards., , , , , , and . Comput. Electron. Agric., (2019)Mapping Vineyard Leaf Area Using Mobile Terrestrial Laser Scanners: Should Rows be Scanned On-the-Go or Discontinuously Sampled?, , , , , , , and . Sensors, 16 (1): 119 (2016)Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L.) from a Standard UAV Service., , , , and . Remote. Sens., 8 (12): 973 (2016)Erratum: Maresma, A., et al. Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L.) from a Standard UAV Service. Remote Sens. 2017, 9, 648., , , , and . Remote. Sens., 10 (3): 368 (2018)Assessing the Performance of RGB-D Sensors for 3D Fruit Crop Canopy Characterization under Different Operating and Lighting Conditions., , , , , , , and . Sensors, 20 (24): 7072 (2020)