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

Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields

(2020) Junfeng Gao et al.   Plant Methods

Towards weeds identification assistance through transfer learning

(2020) Borja Espejo-Garcia et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Goosegrass Detection in Strawberry and Tomato Using a Convolutional Neural Network

(2020) Shaun M. Sharpe et al.   Scientific Reports

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

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

(2019) Alex Olsen et al.   Scientific Reports

Deep learning for image-based weed detection in turfgrass

(2019) Jialin Yu et al.   EUROPEAN JOURNAL OF AGRONOMY

Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

(2019) Victor Partel et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Apple detection during different growth stages in orchards using the improved YOLO-V3 model

(2019) Yunong Tian et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Vegetation detection and discrimination within vegetable plasticulture row-middles using a convolutional neural network

(2019) Shaun M. Sharpe et al.   PRECISION AGRICULTURE

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

Camera steered mechanical weed control in sugar beet, maize and soybean

(2017) Christoph Kunz et al.   PRECISION AGRICULTURE

Potential Corn Yield Losses from Weeds in North America

(2016) Nader Soltani et al.   WEED TECHNOLOGY

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

(2012) Faisal Ahmed et al.   CROP PROTECTION

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION