دورية أكاديمية
SPP-extractor: Automatic phenotype extraction for densely grown soybean plants
| العنوان: | SPP-extractor: Automatic phenotype extraction for densely grown soybean plants |
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| المؤلفون: | Wan Zhou, Yijie Chen, Weihao Li, Cong Zhang, Yajun Xiong, Wei Zhan, Lan Huang, Jun Wang, Lijuan Qiu |
| المصدر: | Crop Journal, Vol 11, Iss 5, Pp 1569-1578 (2023) |
| بيانات النشر: | KeAi Communications Co., Ltd., 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Agriculture LCC:Agriculture (General) |
| مصطلحات موضوعية: | Soybean phenotype, Branch length, Computer vision, A* algorithm, Phenotype acquisition, Agriculture, Agriculture (General), S1-972 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2214-5141 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2214514123000739; https://doaj.org/toc/2214-5141 |
| DOI: | 10.1016/j.cj.2023.04.012 |
| URL الوصول: | https://doaj.org/article/682726e5ed074bce922408e706f84ca0 |
| رقم الأكسشن: | edsdoj.682726e5ed074bce922408e706f84ca0 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 22145141 |
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| DOI: | 10.1016/j.cj.2023.04.012 |