| [1] | 于宇璇, 刘储睿, 唐文竹, 等. 利用蛋白质组学技术探究叶绿素含量对植物生长的影响[J]. 质谱学报, 2023, 44(4): 545−555. YU Yuxuan, LIU Churui, TANG Wenzhu, et al. Using protein omics technology to explore the influence of chlorophyll content on plant growth [J]. Journal of Chinese Mass Spectrometry Society, 2023, 44(4): 545−555. |
| [2] | 王建华. 基于无人机多光谱遥感的玉米叶绿素含量监测研究[D]. 太谷: 山西农业大学, 2023. WANG Jianhua. Monitor on the Chlorophyll Content of Maize by Using UAV Multispectral Remote Sensing [D]. Taigu: Shanxi Agricultural University, 2023. |
| [3] | 刘学英, 李姗, 吴昆, 等. 提高农作物氮肥利用效率的关键基因发掘与应用[J]. 科学通报, 2019, 64(25): 2633−2640. LIU Xueying, LI Shan, WU Kun, et al. Sustainable crop yields from the coordinated modulation of plant growth and nitrogen metabolism [J]. Chinese Science Bulletin, 2019, 64(25): 2633−2640. |
| [4] | 刘伟, 丁红红, 王韦斌, 等. 分光光度计量值比对的实施和结果分析[J]. 科技资讯, 2024, 22(19): 246−250. LIU Wei, DING Honghong, WANG Weibin, et al. Implementation and result analysis of value comparison of spectrophotometer [J]. Science & Technology Information, 2024, 22(19): 246−250. |
| [5] | WANG Huan, ZHU Rong, ZHANG Jia, et al. A novel and convenient method for early warning of algal cell density by chlorophyll fluorescence parameters and its application in a highland lake[J/OL]. Frontiers in Plant Science, 2018, 9: 869[2025-08-01]. DOI:10.3389/fpls.2018.00869. |
| [6] | MARKWELL J, OSTERMAN J C, MITCHELL J L. Calibration of the Minolta SPAD-502 leaf chlorophyll meter [J]. Photosynthesis Research, 1995, 46(3): 467−472. |
| [7] | 王磊, 卢艳丽, 白由路, 等. 主要粮食作物基于SPAD的氮素营养诊断方法研究进展[J]. 植物营养与肥料学报, 2022, 28(3): 546−554. WANG Lei, LU Yanli, BAI Youlu, et al. Research progress on nitrogen nutrition diagnosis method based on SPAD for main grain crops [J]. Plant Nutrition and Fertilizer Science, 2022, 28(3): 546−554. |
| [8] | SPOMER L A, SMITH M A L, SAWWAN J S. Rapid, nondestructive measurement of chlorophyll content in leaves with nonuniform chlorophyll distribution [J]. Photosynthesis Research, 1988, 16(3): 277−284. |
| [9] | 张玉. 基于RGB图像的黄瓜叶片叶绿素含量估测研究[D]. 泰安: 山东农业大学, 2024. ZHANG Yu. Research on Estimation of Chlorophyll Content in Cucumber Leaves Based on RGB Images[D]. Tai’an: Shandong Agricultural University, 2024. |
| [10] | 陆声链, 李沂杨, 李帼, 等. 基于RGB与深度图像融合的生菜表型特征估算方法[J]. 农业机械学报, 2025, 56(1): 84−91, 101. LU Shenglian, LI Yiyang, LI Guo, et al. Lettuce phenotype estimation using integrated RGB-depth image synergy [J]. Transactions of the Chinese Society for Agricultural Machinery, 2025, 56(1): 84−91, 101. |
| [11] | 李修华, 卢显杰, 奚金阳, 等. 智能手机RGB图像检测植物叶片叶绿素含量的通用方法[J]. 农业工程学报, 2021, 37(22): 145−151. LI Xiuhua, LU Xianjie, XI Jinyang, et al. Univeisal method to detect the chlorophyll content in plant leaves with RGB images captured by smart phones [J]. Transactions of the Chinese Society of Agricultural Engineering, 2021, 37(22): 145−151. |
| [12] | 李丽, 程灵. 基于RGB模型建立快速检测番茄叶片叶绿素含量的方法[J]. 分子植物育种, 2021, 19(20): 6906−6909. LI Li, CHENG Ling. A method for rapid detection of chlorophyll content in tomato leaves based on RGB model [J]. Molecular Plant Breeding, 2021, 19(20): 6906−6909. |
| [13] | 郜锦茹. 智能手机成像模组的质量评价方法[D]. 杭州: 杭州电子科技大学, 2018. GAO Jinru. Quality Evaluation Methods of Smart Phone Imaging Module[D]. Hangzhou: Hangzhou Dianzi University, 2018. |
| [14] | CHEN Jiaming, WU Shuhua, DONG Fang, et al. Mechanism underlying the shading-induced chlorophyll accumulation in tea leaves[J/OL]. Frontiers in Plant Science, 2021, 12: 779819[2025-08-01]. DOI: 10.3389/fpls.2021.779819. |
| [15] | 吴际友, 李志辉, 刘球, 等. 干旱胁迫对红椿无性系幼苗叶片相对含水量和叶绿素含量的影响[J]. 中国农学通报, 2013, 29(4): 19−22. WU Jiyou, LI Zhihui, LIU Qiu, et al. Response of drought stress on relative water content of leaf and cholorophyll content of young Toona ciliata Roem. clones seedlings [J]. Chinese Agricultural Science Bulletin, 2013, 29(4): 19−22. |
| [16] | 邓颖. 基于叶片颜色特征的毛竹林营养诊断研究[D]. 杭州: 浙江农林大学, 2021. DENG Ying. Nutrition diagnosis of Phyllostachys pubescens Forest Based on Leaf Color Characteristics[D]. Hangzhou: Zhejiang A&F University, 2021. |
| [17] | 李莉, 蓝天, 赵奇慧, 等. 基于加权随机森林的番茄氮元素缺乏分级模型研究[J]. 农业机械学报, 2021, 52(11): 219−225, 262. LI Li, LAN Tian, ZHAO Qihui, et al. Discriminant model of tomato nitrogen deficiency based on weighted random forest [J]. Transactions of the Chinese Society for Agricultural Machinery, 2021, 52(11): 219−225, 262. |
| [18] | WANG Yujue, JIA Yuna, BAI Yang, et al. Digital image-based method of leaf color and area feature recognition [J]. Advances in Computer and Communication, 2024, 5(2): 122−127. |
| [19] | LEE J, JEONG I, KIM K, et al. Design and implementation of embedded-based vein image processing system with enhanced denoising capabilities[J/OL]. Sensors, 2022, 22(21): 8559[2025-08-01]. DOI: 10.3390/s22218559. |
| [20] | DOMB M, LESHEM G. Secured key distribution by concatenating optical communications and inter-device hand-held video transmission[J/OL]. Applied System Innovation, 2020, 3(1): 11[2025-08-01]. DOI: 10.3390/asi3010011. |
| [21] | OLALERE M, AIMUFUA G I O, ABDULLAHI M U, et al. Ensemble-based predictive model for crop recommendation [J]. Dutse Journal of Pure and Applied Sciences, 2024, 10(2c): 391−409. |
| [22] | ZAIDI N, WEBB G, CARMAN M, et al. Deep broad learning-big models for big data [J]. Journal of Machine Learning Research, 2015, 1: 1−24. |
| [23] | 余德炤, 江晓东, 杨莹颖, 等. 基于RGB与高光谱图像的小麦低温胁迫评估模型[J]. 南方农业学报, 2025, 56(1): 97−110. YU Dezhao, JIANG Xiaodong, YANG Yingying, et al. Assessment model for low temperature stress in wheat based on RGB and hyperspectral images [J]. Journal of Southern Agriculture, 2025, 56(1): 97−110. |
| [24] | 马彦鹏, 边明博, 樊意广, 等. 基于无人机RGB影像的马铃薯植株钾含量估算[J]. 农业机械学报, 2023, 54(7): 196−203, 233. MA Yanpeng, BIAN Mingbo, FAN Yiguang, et al. Estimation of potassium content of potato plants based on UAV RGB images [J]. Transactions of the Chinese Society for Agricultural Machinery, 2023, 54(7): 196−203, 233. |
| [25] | PRANGA J, BORRA-SERRANO I, APER J, et al. Improving accuracy of herbage yield predictions in perennial ryegrass with UAV-based structural and spectral data fusion and machine learning[J/OL]. Remote Sensing, 2021, 13(17): 3459[2025-08-01]. DOI: 10.3390/rs13173459. |
| [26] | 邓再春, 张超, 朱夏力, 等. 基于无人机多光谱影像的云南松林蓄积量估测模型[J]. 浙江农林大学学报, 2024, 41(1): 49−56. DENG Zaichun, ZHANG Chao, ZHU Xiali, et al. Pinus yunnanensis volume estimation model based on UAV multispectral image [J]. Journal of Zhejiang A& F University, 2024, 41(1): 49−56. |
| [27] | 李龙杰, 史勇, 刘彦岑, 等. 基于RGB图像处理预测哈密瓜叶片叶绿素研究[J]. 中国农机化学报, 2024, 45(6): 149−155. LI Longjie, SHI Yong, LIU Yancen, et al. Research on predicting Hami melon leaf chlorophyll based on RGB image processing [J]. Journal of Chinese Agricultural Mechanization, 2024, 45(6): 149−155. |
| [28] | 严志雁, 王芳东, 郭熙, 等. 高光谱估测稻叶SPAD值预处理方法与模型比较[J]. 江西农业大学学报, 2020, 42(6): 1130−1138. YAN Zhiyan, WANG Fangdong, GUO Xi, et al. Comparison of pre-processing methods and models for estimating SPAD of rice leaves by hyperspectrum [J]. Acta Agriculturae Universitatis Jiangxiensis, 2020, 42(6): 1130−1138. |