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This paper presents FruitSense, a novel fruit ripeness sensing system that leverages wireless signals to enable non-destructive and low-cost detection of fruit ripeness. Such a system can reuse existing WiFi devices in homes without the…

Human-Computer Interaction · Computer Science 2021-06-03 Sheng Tan , Jie Yang

Growing global demand for food, coupled with continuing labor shortages, motivates the need for automated agricultural harvesting. While some specialty crops (e.g., apples, peaches, blueberries) can be harvested via existing harvesting…

Robotics · Computer Science 2023-02-08 Alex Qiu , Claire Young , Anthony Gunderman , Milad Azizkhani , Yue Chen , Ai-Ping Hu

The automation of fruit harvesting has gained increasing significance in response to rising labor shortages. A sensorized gripper is a key component of this process, which must be compact enough for confined spaces, able to stably grasp…

Robotics · Computer Science 2026-02-24 Ruohan Zhang , Mohammad Amin Mirzaee , Wenzhen Yuan

The maturity classification of specialty crops such as strawberries and tomatoes is an essential agricultural downstream activity for selective harvesting and quality control (QC) at production and packaging sites. Recent advancements in…

Computer Vision and Pattern Recognition · Computer Science 2024-05-20 Usman A. Zahidi , Krystian Łukasik , Grzegorz Cielniak

Accurate estimation of fruit hardness is essential for automated classification and handling systems, particularly in determining fruit variety, assessing ripeness, and ensuring proper harvesting force. This study presents an innovative…

Robotics · Computer Science 2025-05-12 Zhongyuan Liao , Yipai Du , Jianghua Duan , Haobo Liang , Michael Yu Wang

Acoustic Soft Tactile (AST) skin is a novel sensing technology which derives tactile information from the modulation of acoustic waves travelling through the skin's embedded acoustic channels. A generalisable data-driven calibration model…

Robotics · Computer Science 2024-07-03 Vishnu Rajendran , Kiyanoush Nazari , Simon Parsons , Amir Ghalamzan

This paper presents a novel cable-driven gripper with perception capabilities for autonomous harvesting of strawberries. Experiments show that the gripper allows for more accurate and faster picking of strawberries compared to existing…

Robotics · Computer Science 2018-04-27 Ya Xiong , Pal Johan From , Volkan Isler

This research investigates the application of computer vision for rapid, accurate, and non-invasive food quality assessment, focusing on the novel challenge of real-time raspberry grading into five distinct classes within an industrial…

Computer Vision and Pattern Recognition · Computer Science 2025-05-15 Mohamed Lamine Mekhalfi , Paul Chippendale , Fabio Poiesi , Samuele Bonecher , Gilberto Osler , Nicola Zancanella

We present a system to measure the ripeness of fruit with a hyperspectral camera and a suitable deep neural network architecture. This architecture did outperform competitive baseline models on the prediction of the ripeness state of fruit.…

Computer Vision and Pattern Recognition · Computer Science 2021-04-21 Leon Amadeus Varga , Jan Makowski , Andreas Zell

Fruit is a key crop in worldwide agriculture feeding millions of people. The standard supply chain of fruit products involves quality checks to guarantee freshness, taste, and, most of all, safety. An important factor that determines fruit…

Computer Vision and Pattern Recognition · Computer Science 2023-03-03 Matteo Rizzo , Matteo Marcuzzo , Alessandro Zangari , Andrea Gasparetto , Andrea Albarelli

In this paper, a novel prototype for harvesting table-top grown strawberries is presented, that is minimalist in its footprint interacting with the fruit. In our methodology, a smooth trapper manipulates the stem into a precise groove…

Robotics · Computer Science 2025-07-29 Mohamed Sorour , Mohamed Heshmat , Khaled Elgeneidy , Pål Johan From

SmartDate is an AI-powered system for automated sorting and quality control of date fruits. It combines deep learning, genetic algorithms, and reinforcement learning to improve classification accuracy and predict shelf life. The system uses…

Machine Learning · Computer Science 2025-08-05 Khaled Eskaf

Accurate recognition of food items along with quality assessment is of paramount importance in the agricultural industry. Such automated systems can speed up the wheel of the food processing sector and save tons of manual labor. In this…

Computer Vision and Pattern Recognition · Computer Science 2022-12-27 Md. Samin Morshed , Sabbir Ahmed , Tasnim Ahmed , Muhammad Usama Islam , A. B. M. Ashikur Rahman

In table grape cultivation, harvesting depends on accurately assessing fruit quality. While some characteristics, like color, are visible, others, such as Soluble Solid Content (SSC), or sugar content measured in degrees Brix ({\deg}Brix),…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Thomas Alessandro Ciarfuglia , Ionut Marian Motoi , Leonardo Saraceni , Daniele Nardi

This paper describes an approach of creating a system identifying fruit and vegetables in the retail market using images captured with a video camera attached to the system. The system helps the customers to label desired fruits and…

Computer Vision and Pattern Recognition · Computer Science 2020-10-19 Frida Femling , Adam Olsson , Fernando Alonso-Fernandez

Robotic fruit harvesting often fails to reliably detect whether a fruit has been successfully picked, limiting efficiency and increasing crop damage. This problem is difficult due to compliant fruit and grippers, variable stem attachment,…

Robotics · Computer Science 2026-04-29 Eva Krueger , Marcus Rosette , Joseph R. Davidson

Introduction. To assess the freshness of various products are often used measuring impedance module. But due to the structure of plant foods diagnostic value should have exactly a complex component of impedance. Article tasked with…

Systems and Control · Computer Science 2014-04-28 E. V. Guseva , V. S. Mosiychuk , G. V. Timoshenko , O. B. Sharpan

Machine vision for precision agriculture has attracted considerable research interest in recent years. The goal of this paper is to develop an end-to-end cranberry health monitoring system to enable and support real time cranberry…

Computer Vision and Pattern Recognition · Computer Science 2020-11-10 Peri Akiva , Benjamin Planche , Aditi Roy , Kristin Dana , Peter Oudemans , Michael Mars

Properly handling delicate produce with robotic manipulators is a major part of the future role of automation in agricultural harvesting and processing. Grasping with the correct amount of force is crucial in not only ensuring proper grip…

Robotics · Computer Science 2026-02-05 Preston Fairchild , Claudia Chen , Xiaobo Tan

This study presents a novel approach for touch sensing using semi-elastic textile surfaces that does not require the placement of additional sensors in the sensing area, instead relying on sensors located on the border of the textile. The…

Machine Learning · Computer Science 2023-05-18 Samuel Zühlke , Andreas Stöckl , David C. Schedl
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