Spectroscopy and Spectral Analysis, Volume. 42, Issue 9, 2848(2022)
Hyperspectral Visualization of Citrus Leaf Moisture Content Based on CARS-CNN
[4] Panigrahi P, Srivastava A K[D]. Scientia Horticulturae, 210, 6(2016).
[5] Chlingaryan A, Murphy R J, Whelan B et al[D]. Precision Agriculture, 20, 767(2018).
[7] Bazi Yakoub, Malek Salim, Melgani Farid[D]. Journal of Chemometrics, 32, e2977(2018).
[8] Dong Jialin, Hong Mingjian, Xu Yi et al[D]. Journal of Chemometrics, 33, e3184(2019).
[9] Acquarelli J, Gerretzen J, Van Laarhoven T et al[D]. Analytica Chimica Acta, 954, 22(2017).
[11] Jie Dengfei, Wang Ping, Wu Shuang et al[D]. Food Analytical Methods, 14, 280(2021).
[12] Du Guorong, Li Qianqian, Song Xiangzhong et al[D]. Analytical and Bioanalytical Chemistry, 412, 2795(2020).
[13] Kumar Keshav[D]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 244, 118874(2021).
[14] Guerra-Urzola R, Van Deun K, Vera J C et al[D]. Psychometrika, 86, 893(2021).
Get Citation
Copy Citation Text
. Hyperspectral Visualization of Citrus Leaf Moisture Content Based on CARS-CNN[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2848
Category: Research Articles
Received: Jul. 28, 2021
Accepted: Oct. 26, 2021
Published Online: Nov. 17, 2022
The Author Email: