Wind-induced response of rapeseed seedling stage and lodging prediction based on UAV imagery and machine learning methods

Author:

Wang QiLong,Ren YiLin,Wang HaoJie,Wang JianSong,Yang Yang,Zhang QiangQiang,Zhou GuangSheng

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference30 articles.

1. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley;Bendig;Int. J. Appl. Earth Obs. Geoinf.,2015

2. Understanding and reducing lodging in cereals;Berry;Adv. Agron.,2004

3. Camargo Neto, J., 2004. A combined statistical-soft computing approach for classification and mapping weed species in minimum-tillage systems.

4. Prediction of lodging resistance of rapeseed under different cultivation measures based on vibration characteristics;Chen;J. Anhui Agric. Univ.,2022

5. Support-vector networks;Cortes;Machine Learn.,1995

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