Deep Fruit Detection in Orchards

12 October 2016

Papers citing "Deep Fruit Detection in Orchards"

24 / 24 papers shown

Title
Spatio-Temporal Metric-Semantic Mapping for Persistent Orchard Monitoring: Method and Dataset Jiuzhou Lei Ankit Prabhu Xu Liu Fernando Cladera Mehrad Mortazavi Reza Ehsani Pratik Chaudhari Vijay Kumar 29 1 0 29 Sep 2024
High-Speed Detector For Low-Powered Devices In Aerial Grasping Ashish Kumar Laxmidhar Behera 33 2 0 22 Feb 2024
S $^3$ AD: Semi-supervised Small Apple Detection in Orchard Environments Robert Johanson Christian Wilms Ole Johannsen Simone Frintrop 35 3 0 08 Nov 2023
Fruit Ripeness Classification: a Survey Matteo Rizzo Matteo Marcuzzo A. Zangari A. Gasparetto A. Albarelli 27 62 0 29 Dec 2022
Automatic Bounding Box Annotation with Small Training Data Sets for Industrial Manufacturing Manuela Geiß R. Wagner Martin Baresch Josef Steiner Michaela Zwick ObjD 17 7 0 01 Jun 2022
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network Anisha Roy Rikhi Bose Jayabrata Bhaduri 29 217 0 30 Oct 2021
A methodology for detection and localization of fruits in apples orchards from aerial images T. T. Santos L. Gebler 22 4 0 24 Oct 2021
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection Zhenghao Fei A. Olenskyj B. Bailey Mason Earles 25 20 0 30 Aug 2021
Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection S. Butte Aleksandar Vakanski K. Duellman Haotian Wang Amin Mirkouei 32 48 0 14 Jun 2021
A Robust Illumination-Invariant Camera System for Agricultural Applications Abhisesh Silwal Tanvir Parhar Francisco Yandún George Kantor 22 32 0 06 Jan 2021
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights Shih-Lun Wu Hsiao-Yen Tung Yu-Lun Hsu 16 22 0 23 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 45 462 0 17 Nov 2020
Central object segmentation by deep learning for fruits and other roundish objects M. Fukuda T. Okuno Shinya Yuki 27 13 0 04 Aug 2020
Detection and Annotation of Plant Organs from Digitized Herbarium Scans using Deep Learning Sohaib Younis Marco Schmidt C. Weiland S. Dressler Bernhard Seeger T. Hickler 13 27 0 26 Jul 2020
Design and Evaluation of a Modular Robotic Plum Harvesting System Utilising Soft Components Jasper Brown Salah Sukkarieh 6 49 0 13 Jul 2020
Fruit classification using deep feature maps in the presence of deceptive similar classes Mohit Dandekar Narinder Singh Punn S. K. Sonbhadra Sonali Agarwal 18 6 0 12 Jul 2020
Real-Time Apple Detection System Using Embedded Systems With Hardware Accelerators: An Edge AI Application Vittorio Mazzia Francesco Salvetti Aleem Khaliq Marcello Chiaberge 22 152 0 28 Apr 2020
Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors Peri Akiva Kristin J. Dana Peter Oudemans Michael Mars 46 28 0 18 Apr 2020
Grape detection, segmentation and tracking using deep neural networks and three-dimensional association T. T. Santos Leonardo L. de Souza A. Santos Sandra Avila 22 268 0 26 Jul 2019
Modern CNNs for IoT Based Farms P. Gikunda 25 5 0 15 Jul 2019
Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association Xuantong Liu Steven W. Chen Chenhao Liu Shreyas S. Shivakumar Jnaneshwar Das Camillo J Taylor J. Underwood Vijay Kumar 23 72 0 04 Nov 2018
Fruit and Vegetable Identification Using Machine Learning for Retail Applications Frida Femling Adam Olsson F. Alonso-Fernandez 14 65 0 23 Oct 2018
Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion Xuantong Liu Steven W. Chen S. Aditya N. Sivakumar Sandeep Dcunha Chao Qu Camillo J Taylor Jnaneshwar Das Vijay Kumar 11 104 0 01 Apr 2018
Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards Suchet Bargoti J. Underwood 43 407 0 25 Oct 2016