Ripeness

Fruit Quantity and Ripeness Estimation Using a Robotic Vision System

Michael Halstead, Chris McCool, Simon Denman, Tristán Pérez, Clinton Fookes

Citations: 128 • 2018

Fuzzy classification of pre-harvest tomatoes for ripeness estimation – An approach based on automatic rule learning using decision tree

Nidhi Goel, Priti Sehgal

Citations: 121 • 2015

Deep Learning Based Improved Classification System for Designing Tomato Harvesting Robot

Li Zhang, Jingdun Jia, Guan Gui, Hao Xia, Wanlin Gao, Minjuan Wang

Citations: 115 • 2018

MTD-YOLO: Multi-task deep convolutional neural network for cherry tomato fruit bunch maturity detection

Wenbai Chen, Mengchen Liu, Chunjiang Zhao, Xingxu Li, Yiqun Wang

Citations: 108 • 2023

Using depth cameras to extract structural parameters to assess the growth state and yield of cauliflower crops

Dionisio Andújar, Ángela Ribeiro, César Fernández‐Quintanilla, José Dorado

Citations: 95 • 2016

Fruit Detachment and Classification Method for Strawberry Harvesting Robot

Cao Qixin, Masateru Nagata

Citations: 58 • 2008

Modular autonomous strawberry picking robotic system

Soran Parsa, Bappaditya Debnath, Muhammad Arshad Khan, Amir Ghalamzan E.

Citations: 57 • 2023

Automatic image segmentation of oil palm fruits by applying the contour-based approach

Anindita Septiarini, Hamdani Hamdani, Heliza Rahmania Hatta, Khoerul Anwar

Citations: 57 • 2019

Lightweight tomato ripeness detection algorithm based on the improved RT-DETR

Sen Wang, Huiping Jiang, Jixiang Yang, Xuan Ma, Jiamin Chen, Zhongjie Li, Xingqun Tang

Citations: 56 • 2024

Instance Segmentation and Localization of Strawberries in Farm Conditions for Automatic Fruit Harvesting

Yuanyue Ge, Ya Xiong, Pål Johan From

Citations: 50 • 2019

Real-Time Detection of Ripe Oil Palm Fresh Fruit Bunch Based on YOLOv4

Jin Wern Lai, Hafiz Rashidi Ramli, Luthffi Idzhar Ismail, Wan Zuha Wan Hasan

Citations: 49 • 2022

Strawberry Detection and Ripeness Classification Using YOLOv8+ Model and Image Processing Method

Chenglin Wang, Haoming Wang, Qiyu Han, Zhaoguo Zhang, Dandan Kong, Xiangjun Zou

Citations: 48 • 2024

Machine Vision for Ripeness Estimation in Viticulture Automation

Εleni Vrochidou, Christos Bazinas, Michail Manios, George A. Papakostas, Theodore Pachidis, Vassilis G. Kaburlasos

Citations: 47 • 2021

Fruit recognition method for a harvesting robot with RGB-D cameras

Takeshi Yoshida, Takuya Kawahara, Takanori Fukao

Citations: 42 • 2022

Non-Destructive Robotic Assessment of Mango Ripeness via Multi-Point Soft Haptics

Luca Scimeca, Perla Maiolino, Daniel Cardin-Catalan, Ángel P. del Pobil, Antonio Morales, Fumiya Iida

Citations: 40 • 2019

Oil Palm Fresh Fruit Bunch Ripeness Detection Methods: A Systematic Review

Jin Wern Lai, Hafiz Rashidi Ramli, Luthffi Idzhar Ismail, Wan Zuha Wan Hasan

Citations: 37 • 2023

Automating Tomato Ripeness Classification and Counting with YOLOv9

Hoang-Tu Vo, Kheo Chau Mui, Nhon Nguyen Thien, Phuc Pham Tien

Citations: 36 • 2024

Integration of simultaneous tactile sensing and visible and near-infrared reflectance spectroscopy in a robot gripper for mango quality assessment

Victoria Cortés, Carlos Blanes, J. Blasco, C. Ortíz, Nuria Aleixos, Martı́n Mellado, Sergio Cubero, Pau Talens

Citations: 36 • 2017

In-situ fruit analysis by means of LiDAR 3D point cloud of normalized difference vegetation index (NDVI)

Nikos Tsoulias, Kowshik Kumar Saha, Manuela Zude-Sasse

Citations: 35 • 2023

“Is this blueberry ripe?”: a blueberry ripeness detection algorithm for use on picking robots

Yan Liu, Hongtao Zheng, Yonghua Zhang, Qiujie Zhang, Hongli Chen, Xueyong Xu, Gaoyang Wang

Citations: 34 • 2023