Deep-learning-based regression model and hyperspectral imaging for rapid detection of nitrogen concentration in oilseed rape (Brassica napus L.) leaf
By Xinjie Yu, Huanda Lu, Qiyu Liu. 2018
98 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Industrial and Manufacturing Engineering, Plant Science
View Paper: https://www.semanticscholar.org/paper/e3b1eaa160b38b1e8cbe78d7c0b55e11ad8ce004
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In Analytical Chemistry
Citations in the corpus
- Deep Learning Meets Hyperspectral Image Analysis: A Multidisciplinary Review (2019, methodology): “In the first case nutrient inspection [122] or early pathogenic diagnosis [123] were tested, while the possibility of post-harvesting controls were investigated with the assessment of fruit ripening indicators [124], to help segregate damaged fruits [125] and to detect the presence of plant diseases…”