Data on Machine Learning Discussed by Researchers at Hebei Agricultural University (Spectral Technology and Multispectral Imaging for Estimating the Photosynthetic Pigments and Spad of the Chinese Cabbage Based On Machine Learning)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting from Baoding, People’s Republic of China, by NewsRx journalists, research stated, “The contents of photosynthetic pigment, which directly affect the growth of crops, could be evaluated with spectral and multispectral imaging technologies in an accurate and rapid way. For commodity germplasm re-sources on the market, the estimation of photosynthetic pigments and soil and plant analyzer development (SPAD) value was accomplished using the two techniques combined with machine learning.”