Applications of Deep Learning for Dense Scenes Analysis in Agriculture: A Review

Supervised Image Classification by Scattering Transform with Application to Weed Detection in Culture Crops of High Density

(2019) Pejman Rasti et al.   Remote Sensing

Barley yield and fertilization analysis from UAV imagery: a deep learning approach

(2019) H. J. Escalante et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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–Based Multimedia Analytics

(2019) Wei Zhang et al.   ACM Transactions on Multimedia Computing Communications and Applications

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

Single-Shot Convolution Neural Networks for Real-Time Fruit Detection Within the Tree

(2019) Kushtrim Bresilla et al.   Frontiers in Plant Science

Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense

(2019) Yunong Tian et al.   Journal of Sensors

Lightweight deep network for traffic sign classification

(2019) Jianming Zhang et al.   Annals of Telecommunications

An adaptable approach to automated visual detection of plant organs with applications in grapevine breeding

(2019) Jonatan Grimm et al.   BIOSYSTEMS ENGINEERING

Deep learning – Method overview and review of use for fruit detection and yield estimation

(2019) Anand Koirala et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Cascaded deep network systems with linked ensemble components for underwater fish detection in the wild

(2019) Alfonso B. Labao et al.   Ecological Informatics

A comparative study of fruit detection and counting methods for yield mapping in apple orchards

(2019) Nicolai Häni et al.   Journal of Field Robotics

Deep-Learning-Based Defective Bean Inspection with GAN-Structured Automated Labeled Data Augmentation in Coffee Industry

(2019) Yung-Chien Chou et al.   Applied Sciences-Basel

Apple flower detection using deep convolutional networks

(2018) Philipe A. Dias et al.   COMPUTERS IN INDUSTRY

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges

(2018) Henry Friday Nweke et al.   EXPERT SYSTEMS WITH APPLICATIONS

Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks

(2018) Kevis-Kokitsi Maninis et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A review of the use of convolutional neural networks in agriculture

(2018) A. Kamilaris et al.   JOURNAL OF AGRICULTURAL SCIENCE

Automatic handgun detection alarm in videos using deep learning

(2018) Roberto Olmos et al.   NEUROCOMPUTING

The use of plant models in deep learning: an application to leaf counting in rosette plants

(2018) Jordan Ubbens et al.   Plant Methods

A Vision-Based Counting and Recognition System for Flying Insects in Intelligent Agriculture

(2018) Yuanhong Zhong et al.   SENSORS

Deep Learning for Computer Vision: A Brief Review

(2018) Athanasios Voulodimos et al.   Computational Intelligence and Neuroscience

A review of the use of convolutional neural networks in agriculture

(2018) A. Kamilaris et al.   JOURNAL OF AGRICULTURAL SCIENCE

Spatial and semantic convolutional features for robust visual object tracking

(2018) Jianming Zhang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Improved inception-residual convolutional neural network for object recognition

(2018) Md Zahangir Alom et al.   NEURAL COMPUTING & APPLICATIONS

Recurrent computations for visual pattern completion

(2018) Hanlin Tang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep learning for smart agriculture: Concepts, tools, applications, and opportunities

(2018) Nanyang Zhu et al.   International Journal of Agricultural and Biological Engineering

First-passage processes on a filamentous track in a dense traffic: optimizing diffusive search for a target in crowding conditions

(2018) Soumendu Ghosh et al.   JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

Detection and analysis of wheat spikes using Convolutional Neural Networks

(2018) Md Mehedi Hasan et al.   Plant Methods

Digital, Rapid, Accurate, and Label-Free Enumeration of Viable Microorganisms Enabled by Custom-Built On-Glass-Slide Culturing Device and Microscopic Scanning

(2018) Donghui Song et al.   SENSORS

Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations

(2017) Hemanth Venkateswara et al.   IEEE SIGNAL PROCESSING MAGAZINE

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards

(2017) Suchet Bargoti et al.   Journal of Field Robotics

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

(2017) Alvaro Fuentes et al.   SENSORS

Deep Count: Fruit Counting Based on Deep Simulated Learning

(2017) et al.   SENSORS

Colour-agnostic shape-based 3D fruit detection for crop harvesting robots

(2016) Ehud Barnea et al.   BIOSYSTEMS ENGINEERING

Deep learning in bioinformatics

(2016) Seonwoo Min et al.   BRIEFINGS IN BIOINFORMATICS

Towards a Second Green Revolution

(2016) Avinash C. Tyagi   IRRIGATION AND DRAINAGE

Explicit information for category-orthogonal object properties increases along the ventral stream

(2016) Ha Hong et al.   NATURE NEUROSCIENCE

Image Based Mango Fruit Detection, Localisation and Yield Estimation Using Multiple View Geometry

(2016) Madeleine Stein et al.   SENSORS

DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field

(2016) Peter Christiansen et al.   SENSORS

DeepFruits: A Fruit Detection System Using Deep Neural Networks

(2016) Inkyu Sa et al.   SENSORS

Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

(2016) Srdjan Sladojevic et al.   Computational Intelligence and Neuroscience

Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning

(2015) Chengjun Xie et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Sensors and systems for fruit detection and localization: A review

(2015) A. Gongal et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

ApLeaf: An efficient android-based plant leaf identification system

(2015) Zhong-Qiu Zhao et al.   NEUROCOMPUTING

Plant Disease Diagnostic Capabilities and Networks

(2009) Sally A. Miller et al.   Annual Review of Phytopathology

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Object Detection with Discriminatively Trained Part-Based Models

(2009) P F Felzenszwalb et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Speeded-Up Robust Features (SURF)

(2008) Herbert Bay et al.   COMPUTER VISION AND IMAGE UNDERSTANDING