Multispectral imaging as a potential tool for seed health testing of spinach (Spinacia oleracea L.)
Author:
Publisher
International Seed Testing Association
Subject
Horticulture,Plant Science,Agronomy and Crop Science
Cited by 44 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Radiographic and spectral images of rice seeds and the photosynthetic efficiency of seedlings;Scientia Agricola;2024
2. Internet of things-based remote monitoring and classification of <i>Spinacia oleracea</i> leaf disease using deep learning approach;International Journal of Web and Grid Services;2024
3. Multispectral Imaging Distinguished Seeds at Maturity Stages and Spikelet Grain Positions in Agropyron Cristatum Using Convolutional Neural Networks;2024
4. Precision opto-imaging techniques for seed quality assessment: prospects and scope of recent advances;Remote Sensing in Precision Agriculture;2024
5. Higher seed maturity levels, darker pericarp, and smaller seed size relate to improved damping-off tolerance in spinach;Scientia Horticulturae;2023-11
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