SE-YOLOv5x: An Optimized Model Based on Transfer Learning and Visual Attention Mechanism for Identifying and Localizing Weeds and Vegetables

A novel deep learning‐based method for detection of weeds in vegetables

(2022) Xiaojun Jin et al.   PEST MANAGEMENT SCIENCE

Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets

(2022) Artzai Picon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease

(2022) Jiangtao Qi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Weed Classification from Natural Corn Field-Multi-Plant Images Based on Shallow and Deep Learning

(2022) Francisco Garibaldi-Márquez et al.   SENSORS

Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems

(2022) Dong Chen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A deep learning approach incorporating YOLO v5 and attention mechanisms for field real-time detection of the invasive weed Solanum rostratum Dunal seedlings

(2022) Qifan Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Assessment of the levels of damage caused by Fusarium head blight in wheat using an improved YoloV5 method

(2022) Dong-Yan Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Swin-Transformer-Enabled YOLOv5 with Attention Mechanism for Small Object Detection on Satellite Images

(2022) Hang Gong et al.   Remote Sensing

Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems

(2021) Aanis Ahmad et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identification of rice plant diseases using lightweight attention networks

(2021) Junde Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

An image segmentation method based on deep learning for damage assessment of the invasive weed Solanum rostratum Dunal

(2021) Qifan Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A modified U-Net with a specific data argumentation method for semantic segmentation of weed images in the field

(2021) Kunlin Zou et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Apple stem/calyx real-time recognition using YOLO-v5 algorithm for fruit automatic loading system

(2021) Zhipeng Wang et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Development of a systemic crop signalling system for automated real-time plant care in vegetable crops

(2020) Wen-Hao Su et al.   BIOSYSTEMS ENGINEERING

Graph weeds net: A graph-based deep learning method for weed recognition

(2020) Kun Hu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

CNN feature based graph convolutional network for weed and crop recognition in smart farming

(2020) Honghua Jiang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery

(2020) Arun Narenthiran Veeranampalayam Sivakumar et al.   Remote Sensing

Fluorescence imaging for rapid monitoring of translocation behaviour of systemic markers in snap beans for automated crop/weed discrimination

(2019) Wen-Hao Su et al.   BIOSYSTEMS ENGINEERING

Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure

(2019) Alwaseela Abdalla et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Non-destructive evaluation of photostability of crop signaling compounds and dose effects on celery vigor for precision plant identification using computer vision

(2019) Wen-Hao Su et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Recognising weeds in a maize crop using a random forest machine-learning algorithm and near-infrared snapshot mosaic hyperspectral imagery

(2018) Junfeng Gao et al.   BIOSYSTEMS ENGINEERING

Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs

(2018) Mark Christopher et al.   Scientific Reports

Co-robotic intra-row weed control system

(2014) Manuel Pérez-Ruíz et al.   BIOSYSTEMS ENGINEERING

Classification of crops and weeds from digital images: A support vector machine approach

(2012) Faisal Ahmed et al.   CROP PROTECTION

Automatic GPS-based intra-row weed knife control system for transplanted row crops

(2011) M. Pérez-Ruiz et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE