Fruit detection and load estimation of an orange orchard using the YOLO models through simple approaches in different imaging and illumination conditions

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

Comparison of convolutional neural networks in fruit detection and counting: A comprehensive evaluation

(2020) J.P. Vasconez et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Multi-class fruit-on-plant detection for apple in SNAP system using Faster R-CNN

(2020) Fangfang Gao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

In-field citrus detection and localisation based on RGB-D image analysis

(2019) Guichao Lin et al.   BIOSYSTEMS ENGINEERING

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep learning in agriculture: A survey

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

Machine vision assessment of mango orchard flowering

(2018) Zhenglin Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Count: Fruit Counting Based on Deep Simulated Learning

(2017) et al.   SENSORS

Apple crop-load estimation with over-the-row machine vision system

(2016) A. Gongal et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimating mango crop yield using image analysis using fruit at ‘stone hardening’ stage and night time imaging

(2013) A. Payne et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE