Journal of Smart and Sustainable Farming
Advancements and Emerging Trends in Crop Phenomics
Journal of Smart and Sustainable Farming
Received On : 20 December 2024
Revised On : 26 January 2025
Accepted On : 02 February 2025
Published On : 26 February 2025
Volume 01, 2025
Pages : 023-033
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.
Keywords
Crop Phenomics, Model-Assisted Phenotyping, Crop Phenotypic Data Collection, Precision Feeding, Image-Based Phenotyping.
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Cite this Article
Ketema Niguse Baye, “Advancements and Emerging Trends in Crop Phenomics”, Journal of Smart and Sustainable Farming, pp. 023-033, 26 February 2025, doi: 10.64026/JSSF/2025003.
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© 2025 Ketema Niguse Baye. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.