无需分割就能通过原位获取的图像自动估算根长

IF 7.6 1区农林科学 Q1 AGRONOMY

Plant Phenomics Pub Date : 2023-12-18 DOI:10.34133/plantphenomics.0132

Faina Khoroshevsky, Kaining Zhou, Sharon Chemweno, Yael Edan, Aharon Bar-Hillel, O. Hadar, Boris Rewald, Pavel Baykalov, J. Ephrath, N. Lazarovitch

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automatic Root Length Estimation from Images Acquired in Situ without Segmentation

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来源期刊

Plant Phenomics Multiple-

CiteScore

8.60

自引率

9.20%

发文量

审稿时长

14 weeks

期刊介绍： Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.