In recent years, the use of image-based phenome analysis has become increasingly popular as a tool for data acquisition and analysis. This technique uses images to capture and analyze physical characteristics of specimens, such as crops, plants, and animals. A new strategy for acquisition and analysis of image-based phenome data has recently been developed by researchers at the University of California, Riverside. This strategy is designed to facilitate the capture of large amounts of data from a variety of sources, including satellite imagery, aerial photographs, and drones. Furthermore, it can process and analyze this data quickly and accurately, making it an effective tool for decision makers. This strategy is expected to revolutionize the way in which researchers, farmers, and other stakeholders in the agricultural sector are able to collect, analyze, and make use of data.

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source: Phys.org