BrRacemeCounter: An AI-based desktop tool for counting racemes in Urochloa spp.

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-05-01 DOI:10.1016/j.softx.2025.102181

Darwin Alexis Arrechea-Castillo, Paula Espitia-Buitrago, Ronald David Arboleda, Ana Marcela Gallego-Muñoz, Valeria Moreno-Domínguez, Juan Manuel Gaviria-Valencia, Valeria Andrea Bravo, Andres Felipe Ruiz-Hurtado, Rosa N. Jauregui, Juan Andrés Cardoso

引用次数: 0

Abstract

Seed yield prediction in forage plants involves the detection and counting of individual racemes that comprise an inflorescence. However, this task is labor-intensive to perform manually across large numbers of plants and overly complex for classical machine learning techniques due to challenges such as high raceme overlap, large variations in raceme numbers per image and spectral signature similarities between the racemes and the vegetative parts of the plant. To address these challenges, a deep learning-based desktop tool was implemented to count individual racemes in RGB images of Urochloa genotypes, showing different phenological stages and wide variation in number of racemes per plant.

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BrRacemeCounter：一个基于人工智能的桌面工具，用于计数Urochloa的总状花序。

在饲料植物中，种子产量预测涉及到组成花序的单个总状花序的检测和计数。然而，由于总状花序高度重叠、每张图像总状花序数量的巨大变化以及总状花序与植物营养部分之间的光谱特征相似性等挑战，这项任务在大量植物中手动执行是劳动密集型的，对于经典的机器学习技术来说过于复杂。为了解决这些挑战，我们使用了一个基于深度学习的桌面工具来计算尿藻基因型RGB图像中的单个总状花序，显示出不同的物候阶段和每株总状花序数量的广泛变化。

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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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.