Unverified paper record
Advancements and Emerging Trends in Crop Phenomics
Journal of Smart and Sustainable Farming · 26 Feb 2025 · 10.64026/jssf/2025003
Abstract
In 1911, Wilhelm Johannsen provided a definition for the term "phenotype," stating that it encompasses the many observable characteristics of organisms, which may be discerned by direct visual examination or more precise techniques including measurement or description. The term "phenotype" is derived from the Greek words "phainein" and "typos," which translate to "show" and "type" respectively. The area of research is now through a transformative phase known as 'phenomics,' which may be attributed to the rapid development in high-throughput technology of phenotyping. The agricultural phenotyping community is required to advance the field of bioinformatics in order to effectively extract valuable information from the extensive omics data. Additionally, it is essential to engage in research pertaining to technological systems that can accurately detect and characterize phenotypic features. This paper provides an outline of the topic of research including the gathering of phenotypic information using various sensors and the subsequent analysis of phenomics. In conclusion, we conducted an analysis of the challenges and possibilities associated with agricultural phenomics. Our objective was to provide suggestions for enhancing gene mining methodologies pertaining to essential agronomic traits, as well as implementing innovative intelligent approaches for precision breeding.
Plant phenotyping relevance
農業フェノミクスにおけるセンサーによる表現型情報の収集と解析、技術的課題・動向を中心に扱うレビューであり、植物表現型手法のレビューとして中心性が明確です。
abstractThis paper provides an outline of the topic of research including the gathering of phenotypic information using various sensors and the subsequent analysis of phenomics.
abstractOur objective was to provide suggestions for enhancing gene mining methodologies pertaining to essential agronomic traits, as well as implementing innovative intelligent approaches for precision breeding.
Code and data availability
This is a narrative review of crop phenomics with no original measurements, datasets, images, or analysis code of its own. The only data statement is 'The datasets generated during the current study are available from the corresponding author upon reasonable request,' which is a request-only availability claim, and no
No evidence-backed public reproduction asset is currently recorded.
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