Detection of wheat seedling lines in the complex environment via deep learning

Wheat seedling line detection is critical for precision agriculture and automatic guidance in early wheat field operation. Aiming at the complex wheat field environment, a method of detecting wheat seedling lines based on deep learning was proposed in this study. Firstly, a rotated bounding box was...

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Bibliographic Details
Published in:	International journal of agricultural and biological engineering Vol. 17; no. 5; pp. 255 - 265
Main Authors:	Lin, Haibo, Lu, Yuandong, Ding, Rongcheng, Xiu, Yufeng, Yang, Fazhan
Format:	Journal Article
Language:	English
Published:	Beijing International Journal of Agricultural and Biological Engineering (IJABE) 01.10.2024
Subjects:	Accuracy Adaptability Agriculture Algorithms Boxes Corn Crops Dark adaptation Deep learning Error detection Farm machinery Pixels Precision agriculture Seedlings Wheat China
ISSN:	1934-6344, 1934-6352
Online Access:	Get full text
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