Apple stem/calyx real-time recognition using YOLO-v5 algorithm for fruit automatic loading system

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

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

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

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

Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association

(2020) Thiago T. Santos et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

(2020) Mengyun Zhang et al.   BIOSYSTEMS ENGINEERING

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

Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease

(2020) Utpal Barman et al.   COMPUTERS AND ELECTRONICS IN 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

Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’

(2019) A. Koirala et al.   PRECISION AGRICULTURE

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

(2019) Yunong Tian 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

A field-tested robotic harvesting system for iceberg lettuce

(2019) Simon Birrell et al.   Journal of Field Robotics

Evolution of a Development Model for Fruit Industry Against Background of Rising Labor Cost: Intensive or Extensive Adjustment?

(2019) Bin Yuan et al.   Sustainability

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

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

Measurement of optical properties of fruits and vegetables: A review

(2019) Renfu Lu et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

A review of the use of convolutional neural networks in agriculture

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

A review of the use of convolutional neural networks in agriculture

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

Mechatronic components in apple sorting machines with computer vision

(2018) Nesar Mohammadi Baneh et al.   Journal of Food Measurement and Characterization

Challenges and solutions of optical-based nondestructive quality inspection for robotic fruit and vegetable grading systems: A technical review

(2018) Baohua Zhang et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Effect of measurement position on prediction of apple soluble solids content (SSC) by an on-line near-infrared (NIR) system

(2018) Xiao Xu et al.   Journal of Food Measurement and Characterization

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

A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis

(2013) Sergio Cubero et al.   BIOSYSTEMS ENGINEERING

In-line detection of apple defects using three color cameras system

(2009) Zou Xiao-bo et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION