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

Detection of ground straw coverage under conservation tillage based on deep learning

(2020) Deyi Zhou et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Counting of grapevine berries in images via semantic segmentation using convolutional neural networks

(2020) Laura Zabawa et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Method of Apple Image Segmentation Based on Color-Texture Fusion Feature and Machine Learning

(2020) Chunlong Zhang et al.   Agronomy-Basel

A Method for Broccoli Seedling Recognition in Natural Environment Based on Binocular Stereo Vision and Gaussian Mixture Model

(2019) Luzhen Ge et al.   SENSORS

Defoliation estimation of forest trees from ground-level images

(2019) Ursula Kälin et al.   REMOTE SENSING OF ENVIRONMENT

Deep learning for image-based weed detection in turfgrass

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

A review on weed detection using ground-based machine vision and image processing techniques

(2019) Aichen Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Learning Techniques for Agronomy Applications

(2019) Chi-Hua Chen et al.   Agronomy-Basel

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

(2019) Qi Yang et al.   FIELD CROPS RESEARCH

Infield oilseed rape images segmentation via improved unsupervised learning models combined with supreme color features

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

Moon image segmentation with a new mixture histogram model

(2019) Chih-Yu Hsu et al.   Enterprise Information Systems

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

Evaluation of support vector machine and artificial neural networks in weed detection using shape features

(2018) Adel Bakhshipour et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild

(2018) Artzai Picon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A fast and accurate expert system for weed identification in potato crops using metaheuristic algorithms

(2018) Sajad Sabzi et al.   COMPUTERS IN INDUSTRY

Early season weed mapping in rice crops using multi-spectral UAV data

(2018) Daniela Stroppiana et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning

(2018) Ronald Kemker et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Multi-scale object detection in remote sensing imagery with convolutional neural networks

(2018) Zhipeng Deng et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

GPhenoVision: A Ground Mobile System with Multi-modal Imaging for Field-Based High Throughput Phenotyping of Cotton

(2018) Yu Jiang et al.   Scientific Reports

Modern Trends in Hyperspectral Image Analysis: A Review

(2018) Muhammad Jaleed Khan et al.   IEEE Access

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification

(2018) Jayme Garcia Arnal Barbedo   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A contextualized approach for segmentation of foliage in different crop species

(2018) M.P. Rico-Fernández et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

U-Net: deep learning for cell counting, detection, and morphometry

(2018) Thorsten Falk et al.   NATURE METHODS

MugNet: Deep learning for hyperspectral image classification using limited samples

(2017) Bin Pan et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

(2017) Alvaro Fuentes et al.   SENSORS

Plant species classification using deep convolutional neural network

(2016) Mads Dyrmann et al.   BIOSYSTEMS ENGINEERING

A survey of image processing techniques for plant extraction and segmentation in the field

(2016) Esmael Hamuda et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Exploiting affine invariant regions and leaf edge shapes for weed detection

(2015) Wajahat Kazmi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Electrochemically Assisted Remediation of Pesticides in Soils and Water: A Review

(2014) M. A. Rodrigo et al.   CHEMICAL REVIEWS

Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: Analysis and comparison

(2014) Wajahat Kazmi et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Robotized Plant Probing: Leaf Segmentation Utilizing Time-of-Flight Data

(2013) Guillem Alenya et al.   IEEE ROBOTICS & AUTOMATION MAGAZINE

Reference genome sequence of the model plant Setaria

(2012) Jeffrey L Bennetzen et al.   NATURE BIOTECHNOLOGY

Semantic object classes in video: A high-definition ground truth database

(2008) Gabriel J. Brostow et al.   PATTERN RECOGNITION LETTERS

Evaluation of an algorithm for automatic detection of broad-leaved weeds in spring cereals

(2008) T. W. Berge et al.   PRECISION AGRICULTURE