Anders Krogh Mortensen
Papers
2
Total Citations
101
H-Index
2
About
Anders Krogh Mortensen is a researcher specializing in precision agriculture and computer vision, with a focus on automated plant analysis for sustainable farming. His work centers on developing algorithms for weed quantification and crop weight estimation using 3D point cloud data and high-resolution imagery. Mortensen’s major contributions include pioneering methods for segmenting lettuce in coloured 3D point clouds to estimate fresh weight, a technique that enhances yield prediction accuracy. He also created a dicotyledon weed quantification algorithm for selective herbicide application in maize crops, addressing stricter EU regulations aimed at reducing herbicide leaching and economic burdens on agriculture. His most cited paper, “Segmentation of lettuce in coloured 3D point clouds for fresh weight estimation” (2018), has garnered 68 citations, while his weed quantification study (2016) has 33 citations, reflecting their impact on precision farming. Notably, Mortensen’s research directly supports environmentally friendly practices by minimizing chemical use through targeted weed control, marking a significant step toward sustainable agricultural technology.
Research Focus
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Top Papers
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