Multi-feature detection of in-field grain lodging for adaptive low-loss control of combine harvesters

Author:

Xie Binbin,Wang Jian,Jiang Houkang,Zhao Shenyi,Liu JizhanORCID,Jin Yujie,Li Yuanxiang

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference37 articles.

1. Machine vision-based guidance system for agricultural grain harvesters using cut-edge detection;Benson;Biosyst. Eng.,2003

2. Use of unmanned aerial vehicle imagery and a hybrid algorithm combining a watershed algorithm and adaptive threshold segmentation to extract wheat lodging;Cao;Physics and Chemistry of the Earth, Parts A/B/C,2021

3. Estimation of crop angle of inclination for lodged wheat using multi-sensor SAR data;Chauhan;Remote Sensing of Environment: An Interdisciplinary Journal,2020

4. Development of a laser scanner-based navigation system for a combine harvester;Choi;Eng. Agric. Environ. Food,2014

5. The mature wheat cut and uncut edge detection method based on wavelet image rotation and projection;Ding;Afr. J. Agric. Res.,2011

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