A new breakthrough in rice phenotyping was announced recently by a team of researchers, led by Dr. Li Jiang from the National Key Laboratory of Crop Genetic Improvement in China. The team developed a novel deep panicle phenotyping system that is capable of accurately and quickly detecting multiple growth traits in rice, such as leaf angle, panicle length, panicle weight, and grain number. This advanced system could help researchers and breeders to quickly identify and select desirable rice varieties. The system uses a combination of image analysis, machine learning, and robotic automation to accurately measure the phenotypic traits of the rice plant. The results of the study were published in the international journal Plant Methods.

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source: Phys.org