Research graph
References from Deep learning-based rice pest detection research. Local targets link to admitted publications; unresolved targets remain external evidence.
Tilting relationalities: Exploring the world through possible futures of agriculture
10.1177/00380261221084778 · 2022 · External reference
Impact of pests on cereal grain and nutrient yield in boreal growing conditions
10.3390/agronomy11030592 · 2021 · External reference
Unresolved reference
2021 · External reference
IPM reduces insecticide applications by 95% while maintaining or enhancing crop yields through wild pollinator conservation
10.1073/pnas.2108429118 · 2021 · External reference
Bt maize can provide non‐chemical pest control and enhance food safety in China
10.1111/pbi.13960 · 2022 · External reference
Artificial Intelligence Technology in the Agricultural Sector: A Systematic Literature Review.
10.1109/access.2022.3232485 · 2023 · External reference
Incorporating artificial intelligence technology in smart greenhouses: Current State of the Art.
10.3390/app13010014 · 2022 · External reference
10.1109/icses55317.2022.9914148
10.1109/icses55317.2022.9914148 · External reference
10.1007/978-981-19-8086-2_19
10.1007/978-981-19-8086-2_19 · External reference
Deep learning and Its Development.
2021 · External reference
10.1007/978-3-031-06427-2_28
10.1007/978-3-031-06427-2_28 · External reference
Multi-stage genetic algorithm and deep neural network for robot execution failure detection
10.1007/s11063-021-10610-x · 2021 · External reference
Pemilihan Model Arsitektur Terbaik Dengan Mengoptimasi Learning Rate Pada Neural Network Backpropagation.
10.30865/jurikom.v9i1.3834 · 2022 · External reference
Construction of a neural network for handwritten digits recognition based on TensorFlow library applying an error backpropagation algorithm
10.15587/1729-4061.2023.293682 · 2023 · External reference
Backpropagation-free deep learning with recursive local representation alignment
10.1609/aaai.v37i8.26118 · 2023 · External reference
ImageNet classification with deep convolutional neural networks
10.1145/3065386 · 2017 · External reference
High performing ensemble of convolutional neural networks for insect pest image detection
2021 · External reference
Artificial Intelligence Technology in the Agricultural Sector: A Systematic Literature Review.
10.1109/access.2022.3232485 · 2023 · External reference
Survey on crop pest detection using deep learning and machine learning approaches
10.1007/s11042-023-15221-3 · 2023 · External reference
10.1109/icses55317.2022.9914148
10.1109/icses55317.2022.9914148 · External reference
Incorporating artificial intelligence technology in smart greenhouses: Current State of the Art.
10.3390/app13010014 · 2022 · External reference
Explainable deep convolutional neural networks for insect pest recognition
10.1016/j.jclepro.2022.133638 · 2022 · External reference
10.1109/cvpr.2016.91
10.1109/cvpr.2016.91 · External reference
Small pests detection in field crops using deep learning object detection
10.3390/su15086815 · 2023 · External reference
MobileNet-CA-YOLO: An Improved YOLOv7 Based on the MobileNetV3 and Attention Mechanism for Rice Pests and Diseases Detection.
10.3390/agriculture13071285 · 2023 · External reference
10.1109/icip49359.2023.10222202
10.1109/icip49359.2023.10222202 · External reference
10.1109/tensymp55890.2023.10223656
10.1109/tensymp55890.2023.10223656 · External reference
10.1109/cvpr.2019.00899
10.1109/cvpr.2019.00899 · External reference
10.1109/tensymp55890.2023.10223656
10.1109/tensymp55890.2023.10223656 · External reference
10.1109/rusautocon58002.2023.10272908
10.1109/rusautocon58002.2023.10272908 · External reference
10.1109/cvpr42600.2020.00165
10.1109/cvpr42600.2020.00165 · External reference
10.1007/978-3-030-01234-2_1
10.1007/978-3-030-01234-2_1 · External reference
10.1109/cvpr42600.2020.01079
10.1109/cvpr42600.2020.01079 · External reference
Detection of rice pests based on self-attention mechanism and multi-scale feature fusion
10.3390/insects14030280 · 2023 · External reference
A new pest detection method based on improved YOLOv5m
10.3390/insects14010054 · 2023 · External reference
Research on detection of rice pests and diseases based on improved YOLOV5 algorithm
10.3390/app131810188 · 2023 · External reference
Pests identification of ip102 by yolov5 embedded with the novel lightweight module
10.3390/agronomy13061583 · 2023 · External reference
LP-YOLO: A Lightweight Object Detection Network Regarding Insect Pests for Mobile Terminal Devices Based on Improved YOLOv8.
10.3390/agriculture14081420 · 2024 · External reference
