Causality-inspired method boosts crop pest recognition

Causality-inspired method boosts crop pest recognition

A team of researchers led by Professor Xie Chengjun and Associate Professor Zhang Jie at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, have developed an innovative Decoupled Feature Learning (DFL) framework inspired by causal inference to address the challenge of distribution bias in crop pest recognition. A team of researchers led…

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Novel system for highly sensitive detection of small molecule pollutants in food and the environment

Novel system for highly sensitive detection of small molecule pollutants in food and the environment

A research team from the Hefei Institutes of Physical Science of Chinese Academy of Sciences, developed a novel competitive dual-channel color-tone change fluorescent immunochromatographic assay (CFICA). A research team from the Hefei Institutes of Physical Science of Chinese Academy of Sciences, developed a novel competitive dual-channel color-tone change fluorescent immunochromatographic assay (CFICA). Biochemistry Analytical Chemistry Phys.org – latest…

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