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相关论文: Low Cost Semi-Autonomous Agricultural Robots In Pa…

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Recent developments in the domain of agricultural robotics have resulted in development of complex and efficient systems. Most of the land owners in the South Asian region are low income farmers. The agricultural experience for them is…

机器人学 · 计算机科学 2015-01-13 Muhammad Zubair Ahmad , Ayyaz Akhtar , Abdul Qadeer Khan , Amir A. Khan

This paper presents a comprehensive review of ground agricultural robotic systems and applications with special focus on harvesting that span research and commercial products and results, as well as their enabling technologies. The majority…

Modern herbicide application in agricultural settings typically relies on either large scale sprayers that dispense herbicide over crops and weeds alike or portable sprayers that require labor intensive manual operation. The former method…

Autonomous navigation of a robot in agricultural fields is essential for every task from crop monitoring to weed management and fertilizer application. Many current approaches rely on accurate GPS, however, such technology is expensive and…

机器人学 · 计算机科学 2022-10-13 Alireza Ahmadi , Michael Halstead , Chris McCool

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

With the increase in world population, food resources have to be modified to be more productive, resistive, and reliable. Wheat is one of the most important food resources in the world, mainly because of the variety of wheat-based products.…

机器人学 · 计算机科学 2022-07-01 Behzad Safarijalal , Yousef Alborzi , Esmaeil Najafi

This paper provides an overview of the current state-of-the-art in selective harvesting robots (SHRs) and their potential for addressing the challenges of global food production. SHRs have the potential to increase productivity, reduce…

Vision-based navigation systems in arable fields are an underexplored area in agricultural robot navigation. Vision systems deployed in arable fields face challenges such as fluctuating weed density, varying illumination levels, growth…

机器人学 · 计算机科学 2024-05-29 Rajitha de Silva , Grzegorz Cielniak , Junfeng Gao

Wheat is the main agricultural crop of Pakistan and is a staple food requirement of almost every Pakistani household making it the main strategic commodity of the country whose availability and affordability is the government's main…

机器学习 · 计算机科学 2021-03-09 Ahmed Rasheed , Muhammad Shahzad Younis , Farooq Ahmad , Junaid Qadir , Muhammad Kashif

Agriculture industries often face challenges in manual tasks such as planting, harvesting, fertilizing, and detection, which can be time consuming and prone to errors. The "Agricultural Robotic System" project addresses these issues through…

机器人学 · 计算机科学 2023-07-20 Yang Wenkai , Ji Ruihang , Yue Yiran , Gu Zhonghan , Shu Wanyang , Sam Ge Shuzhi

Autonomous navigation is a pre-requisite for field robots to carry out precision agriculture tasks. Typically, a robot has to navigate through a whole crop field several times during a season for monitoring the plants, for applying…

机器人学 · 计算机科学 2019-09-30 Alireza Ahmadi , Lorenzo Nardi , Nived Chebrolu , Cyrill Stachniss

Agriculture has always remained an integral part of the world. As the human population keeps on rising, the demand for food also increases, and so is the dependency on the agriculture industry. But in today's scenario, because of low yield,…

机器人学 · 计算机科学 2022-11-23 Dhruv Patel , Meet Gandhi , Shankaranarayanan H. , Anand D. Darji

The agriculture sector requires a lot of labor and resources. Hence, farmers are constantly being pressed for technology and automation to be cost-effective. In this context, autonomous robots can play a very important role in carrying out…

The advancements in precision agriculture are vital to support the increasing demand for global food supply. Precision spot spraying is a major step towards reducing chemical usage for pest and weed control in agriculture. A novel spot…

In this paper, we present the lessons learnt during the development of a new robotic harvester (Harvey) that can autonomously harvest sweet pepper (capsicum) in protected cropping environments. Robotic harvesting offers an attractive…

机器人学 · 计算机科学 2017-06-21 Christopher Lehnert , Christopher McCool , Tristan Perez

Mechanizing the manual harvesting of fresh market fruits constitutes one of the biggest challenges to the sustainability of the fruit industry. During manual harvesting of some fresh-market crops like strawberries and table grapes, pickers…

机器人学 · 计算机科学 2021-11-22 Chen Peng

Agricultural robots have the prospect to enable more efficient and sustainable agricultural production of food, feed, and fiber. Perception of crops and weeds is a central component of agricultural robots that aim to monitor fields and…

计算机视觉与模式识别 · 计算机科学 2023-03-23 Gianmarco Roggiolani , Federico Magistri , Tiziano Guadagnino , Jan Weyler , Giorgio Grisetti , Cyrill Stachniss , Jens Behley

To better optimise the global food supply chain, robotic solutions are needed to automate tasks currently completed by humans. Namely, phenotyping, quality analysis and harvesting are all open problems in the field of agricultural robotics.…

机器人学 · 计算机科学 2022-08-24 Jack Foster , Mazvydas Gudelis , Amir Ghalamzan Esfahani

In agricultural automation, inherent occlusion presents a major challenge for robotic harvesting. We propose a novel imitation learning-based viewpoint planning approach to actively adjust camera viewpoint and capture unobstructed images of…

机器人学 · 计算机科学 2025-03-14 Lun Li , Hamidreza Kasaei

Mechanizing the manual harvesting of fresh market fruits constitutes one of the biggest challenges to the sustainability of the fruit industry. During manual harvesting of some fresh-market crops like strawberries and table grapes, pickers…

机器人学 · 计算机科学 2023-02-28 Chen Peng , Stavros Vougioukas , David Slaughter , Zhenghao Fei , Rajkishan Arikapudi
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