付海天, 郑华, 文峰, 等. 中国木薯研究及产业发展趋势[J]. 农业研究与应用, 2022, 35(4): 9-22. doi: 10.3969/j.issn.2095-0764.2022.04.003
刘琳玉, 赵平娟, 符艳等. 木薯花叶病毒AC4蛋白与AtPARN互作研究[J/OL]. 热带作物学报, 2024, 45(1): 197-204.
PICON A, SEITZ M, ALVAREZ-GILA A, et al. Crop Conditional Convolutional Neural Networks for Massive Multi-Crop Plant Disease Classification over Cell Phone Acquired Images Taken on Real Field Conditions[J]. Computers and Electronics in Agriculture, 2019, 131(11): 356-366.
XIAO M H, MA Y, FENG Z X, et al. Rice Blast Recognition Based on Principal Component Analysis and Neural Network[J]. Computers and Electronics in Agriculture, 2018, 12(10): 482-490.
FUENTES A, YOON S, KIM S C, et al. A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition[J]. Sensors, 2017, 17(9): 87-108.
顾博, 邓蕾蕾, 李巍, 等. 基于GrabCut算法的玉米病害图像识别方法研究[J]. 中国农机化学报, 2019, 40(11): 143-149.
张善文, 谢泽奇, 张晴晴. 卷积神经网络在黄瓜叶部病害识别中的应用[J]. 江苏农业学报, 2018, 34(1): 56-61.
方晨晨, 石繁槐. 基于改进深度残差网络的番茄病害图像识别[J]. 计算机应用, 2020, 40(S1): 203-208.
熊梦园, 詹炜, 桂连友, 等. 基于ResNet模型的玉米叶片病害检测与识别[J]. 江苏农业科学, 2023, 51(8): 164-170.
宋玲, 曹勉, 胡小春, 等. 基于YOLOX的复杂背景下木薯叶病害检测方法[J]. 农业机械学报, 2023, 54(3): 301-307.
ZHANG H Y, CISSE M, DAUPHIN Y N, et al. Mixup: Beyond Empirical Risk Minimization[EB/OL]. (2018-04-27)[2023-04-01]. https://arxiv.org/pdf/1710.09412v2.
YUN S, HAN D, CHUN S, et al. CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features[C] //2019 IEEE/CVF International Conference on Computer Vision (ICCV). Seoul: IEEE, 2019.
CHEN P G, LIU S, ZHAO H S, et al. GridMask Data Augmentation[EB/OL]. (2020-01-14)[2023-04-01]. https://arxiv.org/pdf/2001.04086v2.
XIE S N, GIRSHICK R, DOLLÁR P, et al. Aggregated Residual Transformations for Deep Neural Networks[C] //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu: IEEE, 2017.
HE K M, ZHANG X Y, REN S Q, et al. Identity Mappings in Deep Residual Networks[M] //LEIBE B, MATAS J, SEBE N, et al. Computer Vision-ECCV 2016. Cham: Springer International Publishing, 2016.
ZAGOURUYKO S, KOMODAKIS N. Wide Residual Networks[EB/OL]. (2017-06-14)[2023-04-01]. https://arxiv.org/pdf/1605.07146.
HOWARD A G, ZHU M L, CHEN B, et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications[EB/OL]. (2017-04-17)[2023-04-01]. https://arxiv.org/pdf/1704.04861.
Tan M, Le Q. Efficientnet: Rethinking Model Scaling for Convolutional Neural Networks[C]. Sacramento: International Conference on Machine Learning, 2019.
SARKAR C, GUPTA D, GUPTA U, et al. Leaf Disease Detection Using Machine Learning and Deep Learning: Review and Challenges[J]. Applied Soft Computing, 2023, 145: 110534.