SPP-extractor: Automatic phenotype extraction for densely grown soybean plants

IF 6 1区 农林科学 Q1 AGRONOMY
Wan Zhou , Yijie Chen , Weihao Li , Cong Zhang , Yajun Xiong , Wei Zhan , Lan Huang , Jun Wang , Lijuan Qiu
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引用次数: 0

Abstract

Automatic collecting of phenotypic information from plants has become a trend in breeding and smart agriculture. Targeting mature soybean plants at the harvesting stage, which are dense and overlapping, we have proposed the SPP-extractor (soybean plant phenotype extractor) algorithm to acquire phenotypic traits. First, to address the mutual occultation of pods, we augmented the standard YOLOv5s model for target detection with an additional attention mechanism. The resulting model could accurately identify pods and stems and could count the entire pod set of a plant in a single scan. Second, considering that mature branches are usually bent and covered with pods, we designed a branch recognition and measurement module combining image processing, target detection, semantic segmentation, and heuristic search. Experimental results on real plants showed that SPP-extractor achieved respective R2 scores of 0.93–0.99 for four phenotypic traits, based on regression on manual measurements.

SPP提取器:密生大豆植株表型的自动提取
自动采集植物表型信息已成为育种和智能农业的一种趋势。针对收获阶段密集重叠的成熟大豆植株,我们提出了SPP提取器(大豆植株表型提取器)算法来获取表型性状。首先,为了解决吊舱的相互掩星问题,我们用额外的注意力机制增强了用于目标检测的标准YOLOv5s模型。由此产生的模型可以准确识别豆荚和茎,并可以在一次扫描中计数植物的整个豆荚集。其次,考虑到成熟的分支通常是弯曲的,并覆盖着豆荚,我们设计了一个结合图像处理、目标检测、语义分割和启发式搜索的分支识别和测量模块。在真实植物上的实验结果表明,基于手动测量的回归,SPP提取器对四个表型性状的R2得分分别为0.93–0.99。
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来源期刊
Crop Journal
Crop Journal Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
9.90
自引率
3.00%
发文量
638
审稿时长
41 days
期刊介绍: The major aims of The Crop Journal are to report recent progresses in crop sciences including crop genetics, breeding, agronomy, crop physiology, germplasm resources, grain chemistry, grain storage and processing, crop management practices, crop biotechnology, and biomathematics. The regular columns of the journal are Original Research Articles, Reviews, and Research Notes. The strict peer-review procedure will guarantee the academic level and raise the reputation of the journal. The readership of the journal is for crop science researchers, students of agricultural colleges and universities, and persons with similar academic levels.
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