Applications of deep-learning approaches in horticultural research: a review

Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry

(2020) Jordi Gené-Mola et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An attribution-based pruning method for real-time mango detection with YOLO network

(2020) Rui Shi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automatic cucumber recognition algorithm for harvesting robots in the natural environment using deep learning and multi-feature fusion

(2020) Shihan Mao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning based segmentation for automated training of apple trees on trellis wires

(2020) Yaqoob Majeed et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Fusion of acoustic sensing and deep learning techniques for apple mealiness detection

(2020) Majid Lashgari et al.   JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE

Exploring Deep Learning for Complex Trait Genomic Prediction in Polyploid Outcrossing Species

(2020) Laura M. Zingaretti et al.   Frontiers in Plant Science

Deep Learning for Mango (Mangifera indica) Panicle Stage Classification

(2020) Anand Koirala et al.   Agronomy-Basel

Instance segmentation of apple flowers using the improved mask R–CNN model

(2020) Yunong Tian et al.   BIOSYSTEMS ENGINEERING

Fully convolutional networks for blueberry bruising and calyx segmentation using hyperspectral transmittance imaging

(2020) Mengyun Zhang et al.   BIOSYSTEMS ENGINEERING

Fruit detection, segmentation and 3D visualisation of environments in apple orchards

(2020) Hanwen Kang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A novel image measurement algorithm for common mushroom caps based on convolutional neural network

(2020) Chuan-Pin Lu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning techniques for estimation of the yield and size of citrus fruits using a UAV

(2020) O.E. Apolo-Apolo et al.   EUROPEAN JOURNAL OF AGRONOMY

SeedGerm: a cost‐effective phenotyping platform for automated seed imaging and machine‐learning based phenotypic analysis of crop seed germination

(2020) Joshua Colmer et al.   NEW PHYTOLOGIST

Deep learning image segmentation and extraction of blueberry fruit traits associated with harvestability and yield

(2020) Xueping Ni et al.   Horticulture Research

Tomato Fruit Detection and Counting in Greenhouses Using Deep Learning

(2020) Manya Afonso et al.   Frontiers in Plant Science

Efficient Deep Features Selections and Classification for Flower Species Recognition

(2019) Musa Cıbuk et al.   MEASUREMENT

A strategy to characterize chlorophyll protein interaction in LIL3

(2019) Astrid Elisabeth Mork-Jansson et al.   Plant Methods

Impact of Host Plant Species and Whitefly Species on Feeding Behavior of Bemisia tabaci

(2019) Milan Milenovic et al.   Frontiers in Plant Science

Development of a Mushroom Growth Measurement System Applying Deep Learning for Image Recognition

(2019) Chuan-Pin Lu et al.   Agronomy-Basel

UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence

(2019) Yiannis Ampatzidis et al.   Remote Sensing

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

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

Cucumber leaf disease identification with global pooling dilated convolutional neural network

(2019) Shanwen Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

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

Image-based deep learning automated sorting of date fruit

(2019) Amin Nasiri et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Mango Fruit Load Estimation Using a Video Based MangoYOLO—Kalman Filter—Hungarian Algorithm Method

(2019) Wang et al.   SENSORS

Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production

(2019) Alan Bauer et al.   Horticulture Research

Deep Learning-Based Pose Estimation of Apples for Inspection in Logistic Centers Using Single-Perspective Imaging

(2019) Lino Antoni Giefer et al.   Processes

Application of Deep Learning in Food: A Review

(2019) Lei Zhou et al.   COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY

Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN

(2019) Yang Yu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Grapevine variety identification using “Big Data” collected with miniaturized spectrometer combined with support vector machines and convolutional neural networks

(2019) Armando M. Fernandes et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine vision-based automatic disease symptom detection of onion downy mildew

(2019) Wan-Soo Kim et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Image recognition of Legacy blueberries in a Chilean smart farm through deep learning

(2019) Ignacio A. Quiroz et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Fast implementation of real-time fruit detection in apple orchards using deep learning

(2019) Hanwen Kang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning based banana plant detection and counting using high-resolution red-green-blue (RGB) images collected from unmanned aerial vehicle (UAV)

(2019) Bipul Neupane et al.   PLoS One

Deep learning for noninvasive classification of clustered horticultural crops – A case for banana fruit tiers

(2019) Tuan-Tang Le et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Accurate prediction of soluble solid content of apples from multiple geographical regions by combining deep learning with spectral fingerprint features

(2019) Yuhao Bai et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards

(2019) Kang et al.   SENSORS

Deep Learning Techniques for Grape Plant Species Identification in Natural Images

(2019) Carlos S. Pereira et al.   SENSORS

Multi-Trait, Multi-Environment Genomic Prediction of Durum Wheat With Genomic Best Linear Unbiased Predictor and Deep Learning Methods

(2019) Osval A. Montesinos-López et al.   Frontiers in Plant Science

Genome sequences of horticultural plants: past, present, and future

(2019) Fei Chen et al.   Horticulture Research

Attention embedded residual CNN for disease detection in tomato leaves

(2019) Karthik R. et al.   APPLIED SOFT COMPUTING

Machine learning applications to non-destructive defect detection in horticultural products

(2019) Jean Frederic Isingizwe Nturambirwe et al.   BIOSYSTEMS ENGINEERING

Detection of apple defect using laser-induced light backscattering imaging and convolutional neural network

(2019) Ang Wu et al.   COMPUTERS & ELECTRICAL ENGINEERING

Research on deep learning in apple leaf disease recognition

(2019) Yong Zhong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detection and classification of bruises of pears based on thermal images

(2019) Xiangyu Zeng et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Pixel based bruise region extraction of apple using Vis-NIR hyperspectral imaging

(2018) Wenkai Che et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning in agriculture: A survey

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

Machine vision assessment of mango orchard flowering

(2018) Zhenglin Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Flower classification using deep convolutional neural networks

(2018) Hazem Hiary et al.   IET Computer Vision

A review of the use of convolutional neural networks in agriculture

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

Development of deep learning method for predicting firmness and soluble solid content of postharvest Korla fragrant pear using Vis/NIR hyperspectral reflectance imaging

(2018) Xinjie Yu et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

An explainable deep machine vision framework for plant stress phenotyping

(2018) Sambuddha Ghosal et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Classification and Discrimination of Different Fungal Diseases of Three Infection Levels on Peaches Using Hyperspectral Reflectance Imaging Analysis

(2018) Ye Sun et al.   SENSORS

A review of the use of convolutional neural networks in agriculture

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

Application of light detection and ranging and ultrasonic sensors to high-throughput phenotyping and precision horticulture: current status and challenges

(2018) André F. Colaço et al.   Horticulture Research

A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network

(2018) Juncheng Ma et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

(2018) Asheesh Kumar Singh et al.   TRENDS IN PLANT SCIENCE

Detection of passion fruits and maturity classification using Red-Green-Blue Depth images

(2018) Shuqin Tu et al.   BIOSYSTEMS ENGINEERING

Prediction of the apple scab using machine learning and simple weather stations

(2018) Mariusz Wrzesień et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Maturity estimation of mangoes using hyperspectral imaging from a ground based mobile platform

(2018) Alexander Wendel et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Branch detection for apple trees trained in fruiting wall architecture using depth features and Regions-Convolutional Neural Network (R-CNN)

(2018) Jing Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Using Deep Learning for Image-Based Potato Tuber Disease Detection

(2018) Dor Oppenheim et al.   PHYTOPATHOLOGY

Comparison of three genomic DNA extraction methods to obtain high DNA quality from maize

(2017) Amani Abdel-Latif et al.   Plant Methods

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

(2017) Alvaro Fuentes et al.   SENSORS

Effective Spectral and Excitation Modeling Techniques for LSTM-RNN-Based Speech Synthesis Systems

(2017) Eunwoo Song et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Detection of cold injury in peaches by hyperspectral reflectance imaging and artificial neural network

(2016) Leiqing Pan et al.   FOOD CHEMISTRY

A segmentation and classification algorithm for online detection of internal disorders in citrus using X-ray radiographs

(2016) M. van Dael et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Machine Learning for Plant Phenotyping Needs Image Processing

(2016) Sotirios A. Tsaftaris et al.   TRENDS IN PLANT SCIENCE

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Audio-visual speech recognition using deep learning

(2014) Kuniaki Noda et al.   APPLIED INTELLIGENCE

Latent feature representation with stacked auto-encoder for AD/MCI diagnosis

(2013) Heung-Il Suk et al.   Brain Structure & Function

Automatic detection of orientation and diseases in blueberries using image analysis to improve their postharvest storage quality

(2013) Gabriel A. Leiva-Valenzuela et al.   FOOD CONTROL

Precision Agriculture and Food Security

(2010) R. Gebbers et al.   SCIENCE

A Survey on Transfer Learning

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