CucumberAI: Cucumber fruit morphology identification system based on artificial intelligence

IF 7.6 1区农林科学 Q1 AGRONOMY

Plant Phenomics Pub Date : 2024-05-19 DOI:10.34133/plantphenomics.0193

Wei Xue, Haifeng Ding, Tao Jin, Jialing Meng, Shiyou Wang, Zuo Liu, Xiupeng Ma, Ji Li

引用次数: 0

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CucumberAI：基于人工智能的黄瓜果实形态识别系统

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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.