Research graph
References from Ensemble based deep learning models for crop and weed differentiation. Local targets link to admitted publications; unresolved targets remain external evidence.
A comparative study of ResNet50, EfficientNetB7, InceptionV3, VGG16 models in crop and weed classification
2023 · External reference
Xin Sun, weed and crop species classification using computer vision and deep learning technologies in greenhouse conditions
2022 · External reference
Dataset of annotated food crops and weed images for robotic computer vision control
2020 · External reference
Plant-seedling classification using transfer learning-based deep convolutional neural networks
10.4018/ijaeis.2020100102 · 2020 · External reference
Ensemble learning for weed detection in soybean crop
2024 · External reference
Ensemble method used for weed classification in cotton field
2024 · External reference
Ensemble transfer learning using MaizeSet: a dataset for weed and maize crop recognition at different growth stages
10.1016/j.cropro.2024.106849 · 2024 · External reference
An ensemble deep learning models approach using image analysis for cotton crop classification in AI-enabled smart agriculture
10.1186/s13007-024-01228-w · 2024 · External reference
Transfer learning for multi-crop leaf disease image classification using convolutional neural network VGG
2022 · External reference
Classification of weed using machine learning techniques: a review—challenges, current and future potential techniques
10.1007/s41348-022-00612-9 · 2022 · External reference
A review on crop and weed identification using deep learning
2024 · External reference
Transfer learning-based weed classification and detection for precision agriculture
2024 · External reference
Weed species classification with UAV imagery and standard CNN models: assessing the frontiers of training and inference phases
2024 · External reference
Real-time weed-crop classification and localisation technique for robotic weed control in lettuce
10.1016/j.biosystemseng.2020.02.002 · 2020 · External reference
10.1109/cvprw63382.2024.00542
10.1109/cvprw63382.2024.00542 · External reference
A new model based on improved VGG16 for corn weed identification
2023 · External reference
Empirical study of multi-class weed classification using deep learning network through transfer learning
2023 · External reference
DCNN transfer learning and multi-model integration for disease and weed identification
2019 · External reference
A W-shaped convolutional network for robust crop and weed classification in agriculture
2023 · External reference
Paddy crop and weed discrimination: a multiple classifier system approach
10.1155/2020/6474536 · 2020 · External reference
Classification of weeds and crops at the pixel-level using convolutional neural networks and data augmentation
2019 · External reference
Weeds classification with deep learning: an investigation using CNN, Vision Transformers, Pyramid Vision Transformers, and ensemble strategy
2024 · External reference
A comprehensive survey on weed and crop classification using machine learning and deep learning
2024 · External reference
Transformer neural network for weed and crop classification of high resolution UAV images
10.3390/rs14030592 · 2022 · External reference
Crop and weed detection data with bounding boxes
2020 · External reference
