Philipp Lottes

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研究焦点

主要成就

代表论文

1. 1
   UAV-based crop and weed classification for smart farming

   384 次引用 · 2017
2. 2
   Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields

   327 次引用 · 2017
3. 3
   Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming

   273 次引用 · 2018
4. 4
   Robotic weed control using automated weed and crop classification

   181 次引用 · 2020
5. 5
   Building an Aerial–Ground Robotics System for Precision Farming: An Adaptable Solution

   129 次引用 · 2020
6. 6
   Effective Vision‐based Classification for Separating Sugar Beets and Weeds for Precision Farming

   128 次引用 · 2016
7. 7
   An effective classification system for separating sugar beets and weeds for precision farming applications

   97 次引用 · 2016
8. 8
   Robust joint stem detection and crop‐weed classification using image sequences for plant‐specific treatment in precision farming

   96 次引用 · 2019
9. 9
   Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement

   50 次引用 · 2017
10. 10
    Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields

    49 次引用 · 2019

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