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

A visual detection method for nighttime litchi fruits and fruiting stems

(2020) Cuixiao Liang 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

Applications of Deep Learning for Dense Scenes Analysis in Agriculture: A Review

(2020) Qian Zhang et al.   SENSORS

Visual detection of green mangoes by an unmanned aerial vehicle in orchards based on a deep learning method

(2020) Juntao Xiong et al.   BIOSYSTEMS ENGINEERING

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

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

Visual positioning technology of picking robots for dynamic litchi clusters with disturbance

(2018) Juntao Xiong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

A review of key techniques of vision-based control for harvesting robot

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