Vol. 14, Issue 3 (2025)

Author(s):
Amitava Roy, Komal Rani and Rakesh Kumar Prajapat

Abstract:
The ever-increasing global population, along with newer challenges like climate change, demands rapid advancements in modern-day plant breeding, especially to cope with biotic and abiotic stress challenges. Traditional plant phenotyping methods majorly relied on manual labour which are highly cumbersome and time consuming. Development of advanced image sensors paved the path for high throughput plant phenotyping which are rapid, highly efficient and reliable. Initially, the majority of the image sensors were utilizing satellite and Unmanned Areal Vehicle data but advancements in 3D imaging and mobile phenotyping led to much more simplification of data analysis and storage. High throughput phenotyping has enabled us to efficiently phenotype trickier plant traits such as root architecture and pre symptomatic disease diagnosis in plants. This article provides a comprehensive depiction of different high throughput plant phenotyping techniques, underlying mechanism and effective application of various tools to overcome different challenges encountered in traditional plant phenotyping.