Intelligent Fruit Yield Estimation for Orchards Using Deep Learning Based Semantic Segmentation Techniques—A Review

Passion fruit detection and counting based on multiple scale faster R-CNN using RGB-D images

(2020) Shuqin Tu et al.   PRECISION 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

A Review of Convolutional Neural Network Applied to Fruit Image Processing

(2020) José Naranjo-Torres et al.   Applied Sciences-Basel

Guava Detection and Pose Estimation Using a Low-Cost RGB-D Sensor in the Field

(2019) Guichao Lin et al.   SENSORS

Apple Fruit Recognition Algorithm Based on Multi-Spectral Dynamic Image Analysis

(2019) Juan Feng et al.   SENSORS

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

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

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

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

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

(2019) Wang et al.   SENSORS

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

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

Lychee Fruit Detection Based on Monocular Machine Vision in Orchard Environment

(2019) Qiwei Guo et al.   SENSORS

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

(2019) Kang et al.   SENSORS

Deep Learning Application for Predicting Soil Organic Matter Content by VIS-NIR Spectroscopy

(2019) Zhe Xu et al.   Computational Intelligence and Neuroscience

Faster R-CNN for multi-class fruit detection using a robotic vision system

(2019) Shaohua Wan et al.   Computer Networks

Recent progress in semantic image segmentation

(2018) Xiaolong Liu et al.   ARTIFICIAL INTELLIGENCE REVIEW

Deep learning in agriculture: A survey

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

Immature green citrus fruit detection using color and thermal images

(2018) H. Gan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Methods and datasets on semantic segmentation: A review

(2018) Hongshan Yu et al.   NEUROCOMPUTING

Fruit category classification via an eight-layer convolutional neural network with parametric rectified linear unit and dropout technique

(2018) Shui-Hua Wang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

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

(2018) Shuqin Tu et al.   BIOSYSTEMS ENGINEERING

Recognising blueberry fruit of different maturity using histogram oriented gradients and colour features in outdoor scenes

(2018) Kezhu Tan et al.   BIOSYSTEMS ENGINEERING

MangoNet: A deep semantic segmentation architecture for a method to detect and count mangoes in an open orchard

(2018) Ramesh Kestur et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Stratified sampling in fruit orchards using cluster-based ancillary information maps: a comparative analysis to improve yield and quality estimates

(2018) Asier Uribeetxebarria et al.   PRECISION AGRICULTURE

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

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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren 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

Deep Count: Fruit Counting Based on Deep Simulated Learning

(2017) et al.   SENSORS

Immature green citrus detection based on colour feature and sum of absolute transformed difference (SATD) using colour images in the citrus grove

(2016) Chuanyuan Zhao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Machine vision for counting fruit on mango tree canopies

(2016) W. S. Qureshi et al.   PRECISION AGRICULTURE

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

(2016) Madeleine Stein et al.   SENSORS

Coupling methods for multistage sampling

(2015) Guillaume Chauvet   ANNALS OF STATISTICS

Sensors and systems for fruit detection and localization: A review

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

On Plant Detection of Intact Tomato Fruits Using Image Analysis and Machine Learning Methods

(2014) Kyosuke Yamamoto et al.   SENSORS

Estimation of mango crop yield using image analysis – Segmentation method

(2012) A.B. Payne et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Multilevel systematic sampling to estimate total fruit number for yield forecasts

(2011) Dvoralai Wulfsohn et al.   PRECISION AGRICULTURE

Nondestructive, Stereological Estimation of Canopy Surface Area

(2009) Dvoralai Wulfsohn et al.   BIOMETRICS

Green citrus detection using hyperspectral imaging

(2009) Hiroshi Okamoto et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Study on temporal variation in citrus canopy using thermal imaging for citrus fruit detection

(2008) D.M. Bulanon et al.   BIOSYSTEMS ENGINEERING

The proportionator: Unbiased stereological estimation using biased automatic image analysis and non-uniform probability proportional to size sampling

(2008) J.E. Gardi et al.   COMPUTERS IN BIOLOGY AND MEDICINE