Real-time defects detection for apple sorting using NIR cameras with pruning-based YOLOV4 network

Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network

(2021) Xuelong Hu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Computer vision based detection of external defects on tomatoes using deep learning

(2020) Arthur Z. da Costa et al.   BIOSYSTEMS ENGINEERING

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

(2020) Mengyun Zhang et al.   BIOSYSTEMS ENGINEERING

An optimal zone combination model for on-line nondestructive prediction of soluble solids content of apple based on full-transmittance spectroscopy

(2020) Xi Tian et al.   BIOSYSTEMS ENGINEERING

Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model

(2020) Longsheng Fu et al.   PRECISION AGRICULTURE

On line detection of defective apples using computer vision system combined with deep learning methods

(2020) Shuxiang Fan et al.   JOURNAL OF FOOD ENGINEERING

Detection of concealed cracks from ground penetrating radar images based on deep learning algorithm

(2020) Shuwei Li et al.   CONSTRUCTION AND BUILDING MATERIALS

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

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

Detection of early decay in peaches by structured-illumination reflectance imaging

(2019) Ye Sun et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Deep learning for vibrational spectral analysis: Recent progress and a practical guide

(2019) Jie Yang et al.   ANALYTICA CHIMICA ACTA

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

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

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 in agriculture: A survey

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

From hyperspectral imaging to multispectral imaging: Portability and stability of HIS-MIS algorithms for common defect detection

(2018) Baohua Zhang et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Early detection of decay on apples using hyperspectral reflectance imaging combining both principal component analysis and improved watershed segmentation method

(2018) Jiangbo Li et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

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

Automatic detection of defective apples using NIR coded structured light and fast lightness correction

(2017) Chi Zhang et al.   JOURNAL OF FOOD ENGINEERING

Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths

(2017) Shuxiang Fan et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

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

(2016) Madeleine Stein et al.   SENSORS

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Development of a multispectral imaging system for online detection of bruises on apples

(2015) Wenqian Huang et al.   JOURNAL OF FOOD ENGINEERING

Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review

(2014) Baohua Zhang et al.   FOOD RESEARCH INTERNATIONAL

Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers

(2013) J. Gómez-Sanchis et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Development of a two-band spectral imaging system for real-time citrus canker detection

(2011) Jianwei Qin et al.   JOURNAL OF FOOD ENGINEERING