Table grape inflorescence detection and clamping point localisation based on channel pruned YOLOV7-TP

DSE-YOLO: Detail semantics enhancement YOLO for multi-stage strawberry detection

(2022) Yan Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An end-to-end lightweight model for grape and picking point simultaneous detection

(2022) Ruzhun Zhao et al.   BIOSYSTEMS ENGINEERING

Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision

(2022) Yunchao Tang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A mango picking vision algorithm on instance segmentation and key point detection from RGB images in an open orchard

(2021) Chan Zheng et al.   BIOSYSTEMS ENGINEERING

Grape stem detection using regression convolutional neural networks

(2021) Τheofanis Kalampokas et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A detection algorithm for cherry fruits based on the improved YOLO-v4 model

(2021) Rongli Gai et al.   NEURAL COMPUTING & APPLICATIONS

Grape Bunch Detection at Different Growth Stages Using Deep Learning Quantized Models

(2021) André Silva Aguiar et al.   Agronomy-Basel

Channel pruned YOLO V5s-based deep learning approach for rapid and accurate apple fruitlet detection before fruit thinning

(2021) Dandan Wang et al.   BIOSYSTEMS ENGINEERING

A method for litchi picking points calculation in natural environment based on main fruit bearing branch detection

(2021) Zhuo Zhong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A visual detection method for nighttime litchi fruits and fruiting stems

(2020) Cuixiao Liang 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

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

(2019) Jonatan Grimm et al.   BIOSYSTEMS ENGINEERING

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

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

Computer vision-based localisation of picking points for automatic litchi harvesting applications towards natural scenarios

(2019) Jiajun Zhuang et al.   BIOSYSTEMS ENGINEERING

The recognition of litchi clusters and the calculation of picking point in a nocturnal natural environment

(2018) Juntao Xiong et al.   BIOSYSTEMS ENGINEERING

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

Bunch sizing of ‘BRS Nubia’ table grape by inflorescence management, shoot tipping and berry thinning

(2017) João Pedro Silvestre et al.   SCIENTIA HORTICULTURAE

Estimation of the flower buttons per inflorescences of grapevine (Vitis vinifera L.) by image auto-assessment processing

(2016) Benmehaia Radhouane et al.   African Journal of Agricultural Research

vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques

(2015) Arturo Aquino et al.   SENSORS

Assessment of flower number per inflorescence in grapevine by image analysis under field conditions

(2013) Maria P Diago et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE