Combining generative adversarial networks and agricultural transfer learning for weeds identification

DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

(2019) Alex Olsen et al.   Scientific Reports

CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture

(2019) Yang-Yang Zheng et al.   SENSORS

Plant disease identification from individual lesions and spots using deep learning

(2019) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection

(2019) Marko Arsenovic et al.   Symmetry-Basel

Generating artificial images of plant seedlings using generative adversarial networks

(2019) Simon L. Madsen et al.   BIOSYSTEMS ENGINEERING

Transfer learning for the classification of sugar beet and volunteer potato under field conditions

(2018) Hyun K. Suh et al.   BIOSYSTEMS ENGINEERING

Factors influencing the use of deep learning for plant disease recognition

(2018) Jayme G.A. Barbedo   BIOSYSTEMS ENGINEERING

Deep learning models for plant disease detection and diagnosis

(2018) Konstantinos P. Ferentinos   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A comparative study of fine-tuning deep learning models for plant disease identification

(2018) Edna Chebet Too et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

(2018) Han Zhang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Is the current state of the art of weed monitoring suitable for site-specific weed management in arable crops?

(2018) C Fernández-Quintanilla et al.   WEED RESEARCH

Plant identification using deep neural networks via optimization of transfer learning parameters

(2017) Mostafa Mehdipour Ghazi et al.   NEUROCOMPUTING

Phenotiki: an open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants

(2017) Massimo Minervini et al.   PLANT JOURNAL

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

Big Data for weed control and crop protection

(2017) F K van Evert et al.   WEED RESEARCH

X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion

(2017) Albert C. Cruz et al.   Frontiers in Plant Science

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning

(2017) Guan Wang et al.   Computational Intelligence and Neuroscience

Plant species classification using deep convolutional neural network

(2016) Mads Dyrmann et al.   BIOSYSTEMS ENGINEERING

Fleets of robots for environmentally-safe pest control in agriculture

(2016) Pablo Gonzalez-de-Santos et al.   PRECISION AGRICULTURE