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Vol. 12, Issue 3 (2023)

Plant phenomics through proximal remote sensing: A review for improved crop yield

Author(s):
Sunny Thakur, Stuti Sharma, Akash Barela and Sachin Prakash Nagre
Abstract:
In the present scenario with changing climatic patterns, there is a need to boost crop yield while reducing environmental impact. Traditional breeding methods face limitations in achieving the 2050 target, and new methods are required to facilitate efficient breeding. This review discusses the challenge of feeding the world's growing population, which is expected to reach 9.5 billion by 2050. Plant phenomics is a relatively new interdisciplinary topic that has emerged in this context, aimed at facilitating breeding and enhancing agriculture. Phenotyping, the assessment of attributes significant to commercial plant breeding, is laborious and time-consuming. New approaches, such as speed breeding and precision farming, are being developed to increase the efficiency, precision, and reliability of phenotyping. Plant phenomics involves the collection of complex phenotypic data at an organismal level, and the research and application of tools and techniques to analyse, organize, and store resulting datasets. The article highlights the need for a system that integrates biological functions across genotypes and environments from cellular to the field scale and discusses how high-throughput phenotyping and vegetation indices have been used in agricultural research.
Pages: 2432-2442  |  425 Views  323 Downloads


The Pharma Innovation Journal
How to cite this article:
Sunny Thakur, Stuti Sharma, Akash Barela, Sachin Prakash Nagre. Plant phenomics through proximal remote sensing: A review for improved crop yield. Pharma Innovation 2023;12(3):2432-2442.

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