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Contemporary robots in precision agriculture focus primarily on automated harvesting or remote sensing to monitor crop health. Comparatively less work has been performed with respect to collecting physical leaf samples in the field and…

机器人学 · 计算机科学 2022-08-11 Merrick Campbell , Amel Dechemi , Konstantinos Karydis

Common remote sensing modalities (RGB, multispectral, hyperspectral imaging or LiDAR) are often used to indirectly measure crop health and do not directly capture plant stress indicators. Commercially available direct leaf sensors are…

Fruit monitoring plays an important role in crop management, and rising global fruit consumption combined with labor shortages necessitates automated monitoring with robots. However, occlusions from plant foliage often hinder accurate shape…

机器人学 · 计算机科学 2025-02-25 Shaoxiong Yao , Sicong Pan , Maren Bennewitz , Kris Hauser

This study presents a vision-guided robotic control system for automated fruit tree pruning applications. Traditional pruning practices are labor-intensive and limit agricultural efficiency and scalability, highlighting the need for…

机器人学 · 计算机科学 2025-06-09 Dawood Ahmed , Basit Muhammad Imran , Martin Churuvija , Manoj Karkee

High efficiency in precision farming depends on accurate tools to perform weed detection and mapping of crops. This allows for precise removal of harmful weeds with a lower amount of pesticides, as well as increase of the harvest's yield by…

机器人学 · 计算机科学 2018-12-14 F. Langer , L. Mandtler , A. Milioto , E. Palazzolo , C. Stachniss

Tree fruit growers around the world are facing labor shortages for critical operations, including harvest and pruning. There is a great interest in developing robotic solutions for these labor-intensive tasks, but current efforts have been…

Plants need regular and the appropriate amount of watering to thrive and survive. While agricultural robots exist that can spray water on plants and crops such as the , they are expensive and have limited mobility and/or functionality. We…

机器人学 · 计算机科学 2025-08-13 Justin London

Automating leaf manipulation in agricultural settings faces significant challenges, including the variability of plant morphologies and deformable leaves. We propose a novel hybrid geometric-neural approach for autonomous leaf grasping that…

机器人学 · 计算机科学 2025-05-20 Srecharan Selvam

T-Rex (The Robot for Extracting Leaf Samples) is a gantry-based robotic system developed for autonomous leaf localization, selection, and grasping in greenhouse environments. The system integrates a 6-degree-of-freedom manipulator with a…

机器人学 · 计算机科学 2025-05-06 Srecharan Selvam , Abhisesh Silwal , George Kantor

Pruning is an essential agricultural practice for orchards. Proper pruning can promote healthier growth and optimize fruit production throughout the orchard's lifespan. Robot manipulators have been developed as an automated solution for…

机器人学 · 计算机科学 2025-10-17 Gaoyuan Liu , Bas Boom , Naftali Slob , Yuri Durodié , Ann Nowé , Bram Vanderborght

Monitoring plant health increasingly relies on leaf-mounted sensors that provide real-time physiological data, yet efficiently locating and sampling these sensors in complex agricultural environments remains a major challenge. We present an…

图像与视频处理 · 电气工程与系统科学 2025-12-12 Dexter Burns , Sanjeev Koppal

Mobile robots are increasingly utilized in agriculture to automate labor-intensive tasks such as weeding, sowing, harvesting and soil analysis. Recently, agricultural robots have been developed to detect and remove weeds using mechanical…

This project aims to develop and demonstrate a ground robot with intelligence capable of conducting semi-autonomous farm operations for different low-heights vegetable crops referred as Agriculture Application Robot(AAR). AAR is a…

机器人学 · 计算机科学 2023-09-08 Vinay Ummadi , Aravind Gundlapalle , Althaf Shaik , Shaik Mohammad Rafi B

Agricultural robotics is an active research area due to global population growth and expectations of food and labor shortages. Robots can potentially help with tasks such as pruning, harvesting, phenotyping, and plant modeling. However,…

机器人学 · 计算机科学 2023-12-29 Mohamad Qadri , Harry Freeman , Eric Schneider , George Kantor

The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency, reduction of chemical treatments, and the optimization of…

The decline of natural pollinators has created a major challenge for crop production in controlled indoor agriculture, particularly in vertical farming environments where natural insect pollination is absent. This motivates the development…

机器人学 · 计算机科学 2026-05-11 Chenzhe Jin , Zhuohang Wu , Yifan Cai , Xiangqi Li , Jan Ming Kevin Tan , Narsimlu Kemsaram , Valerio Modugno

Agricultural robots must navigate challenging dynamic and semi-structured environments. Recently, environmental modeling using LiDAR-based SLAM has shown promise in providing highly accurate geometry. However, how this chaotic environmental…

机器人学 · 计算机科学 2024-03-29 Yaoqiang Pan , Hao Cao , Kewei Hu , Hanwen Kang , Xing Wang

In this article, we focus on the critical tasks of plant protection in arable farms, addressing a modern challenge in agriculture: integrating ecological considerations into the operational strategy of precision weeding robots like \bbot.…

机器人学 · 计算机科学 2024-07-08 Alireza Ahmadi , Michael Halstead , Claus Smitt , Chris McCool

Long-term autonomy is one of the most demanded capabilities looked into a robot. The possibility to perform the same task over and over on a long temporal horizon, offering a high standard of reproducibility and robustness, is appealing.…

机器人学 · 计算机科学 2022-11-28 Riccardo Polvara , Sergi Molina Mellado , Ibrahim Hroob , Grzegorz Cielniak , Marc Hanheide

There is growing interest in automating agricultural tasks that require intricate and precise interaction with specialty crops, such as trees and vines. However, developing robotic solutions for crop manipulation remains a difficult…

机器人学 · 计算机科学 2023-11-14 Chung Hee Kim , Moonyoung Lee , Oliver Kroemer , George Kantor
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