| [1] |
ATILA Ü, UÇAR M, AKYOL K, et al. Plant leaf disease classification using EfficientNet deep learning model l[J]. Ecological Informatics, 2021, 61: 101182.
|
| [2] |
AHMED S, HASAN M B, AHMED T, et al. Less is more: Lighter and faster deep neural architecture for tomato leaf disease classification[J]. IEEE Access, 2022, 10: 68868-68884.
|
| [3] |
XIE C Q, SHAO Y N, LI X L, et al. Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging[J]. Scientific Reports, 2015, 5: 16564.
|
| [4] |
TM P, PRANATHI A, SAIASHRITHA K, et al. Tomato leaf disease detection using convolutional neural networks[C]// 2018 Eleventh International Conference on Contemporary Computing (IC3), August 2-4, 2018, Noida, India. IEEE, 2018: 1-5.
|
| [5] |
XIE C Q, HE Y. Spectrum and image texture features analysis for early blight disease detection on eggplant leaves[J]. Sensors, 2016, 16(5): 676.
|
| [6] |
BASAVAIAH J, ARLENE ANTHONY A. Tomato leaf disease classification using multiple feature extraction techniques[J]. Wireless Personal Communications, 2020, 115(1): 633-651.
|
| [7] |
KAUR M, BHATIA R. Development of an improved tomato leaf disease detection and classification method[C]// 2019 IEEE Conference on Information and Communication Technology. December 6-8, 2019, Allahabad, India. IEEE, 2020: 1-5.
|
| [8] |
MKONYI L, RUBANGA D, RICHARD M, et al. Early identification of Tuta absoluta in tomato plants using deep learning[J]. Scientific African, 2020, 10: e00590.
|
| [9] |
DURMUŞ H, GÜNEŞ E O, KIRCI M. Disease detection on the leaves of the tomato plants by using deep learning[C]// 2017 6th International Conference on Agro-Geoinformatics. August 7-10, 2017, Fairfax, VA, USA. IEEE, 2017:1-5.
|
| [10] |
ELHASSOUNY A, SMARANDACHE F. Smart mobile application to recognize tomato leaf diseases using Convolutional Neural Networks[C]// 2019 International Conference of Computer Science and Renewable Energies (ICCSRE). July 22-24, 2019, Agadir, Morocco. IEEE, 2019: 1-4.
|
| [11] |
HOU Q B, ZHOU D Q, FENG J S. Coordinate attention for efficient mobile network design[C]// 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). June 20-25, 2021, Nashville, TN, USA. IEEE, 2021: 13708-13717.
|
| [12] |
HE T, ZHANG Z, ZHANG H, et al. Bag of tricks for image classification with convolutional neural networks[C]// 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). June 15-20, 2019, Long Beach, CA, USA. IEEE, 2020: 558-567.
|
| [13] |
SERGIEVSKIY N, PONAMAREV A. Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery[EB/OL]. https://arxiv.org/abs/1903.01347.
|
), 李勇1, 刘强1, 章伟江3,*(
