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Robotic tree pruning requires highly precise manipulator control in order to accurately align a cutting implement with the desired pruning point at the correct angle. Simultaneously, the robot must avoid applying excessive force to rigid…

机器人学 · 计算机科学 2021-09-28 Alexander You , Hannah Kolano , Nidhi Parayil , Cindy Grimm , Joseph R. Davidson

Selective weeding is one of the key challenges in the field of agriculture robotics. To accomplish this task, a farm robot should be able to accurately detect plants and to distinguish them between crop and weeds. Most of the promising…

计算机视觉与模式识别 · 计算机科学 2017-12-19 Maurilio Di Cicco , Ciro Potena , Giorgio Grisetti , Alberto Pretto

Accurate reconstruction of plant models for phenotyping analysis is critical for optimising sustainable agricultural practices in precision agriculture. Traditional laboratory-based phenotyping, while valuable, falls short of understanding…

机器人学 · 计算机科学 2024-02-16 Yaoqiang Pan , Kewei Hu , Tianhao Liu , Chao Chen , Hanwen Kang

Accurate crop row detection is often challenged by the varying field conditions present in real-world arable fields. Traditional colour based segmentation is unable to cater for all such variations. The lack of comprehensive datasets in…

计算机视觉与模式识别 · 计算机科学 2024-10-28 Rajitha de Silva , Grzegorz Cielniak , Junfeng Gao

Modern agriculture faces escalating challenges: increasing demand for food, labor shortages, and the urgent need to reduce environmental impact. Agricultural robotics has emerged as a promising response to these pressures, enabling the…

机器人学 · 计算机科学 2025-06-23 Stephane Ngnepiepaye Wembe , Vincent Rousseau , Johann Laconte , Roland Lenain

Weeds are one of the major reasons for crop yield loss but current weeding practices fail to manage weeds in an efficient and targeted manner. Effective weed management is especially important for crops with high worldwide production such…

计算机视觉与模式识别 · 计算机科学 2025-02-19 Ekin Celikkan , Timo Kunzmann , Yertay Yeskaliyev , Sibylle Itzerott , Nadja Klein , Martin Herold

Degraded rangelands undergo continual shifts in the appearance and distribution of plant life. The nature of these changes however is subtle: between seasons seedlings sprout up and some flourish while others perish, meanwhile, over…

机器人学 · 计算机科学 2023-12-14 Kristen Such , Harel Biggie , Christoffer Heckman

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

Robotic pollinators not only can aid farmers by providing more cost effective and stable methods for pollinating plants but also benefit crop production in environments not suitable for bees such as greenhouses, growth chambers, and in…

Driven by the need to address labor shortages and meet the demands of a rapidly growing population, robotic automation has become a critical component in precision agriculture. Leaf-level hyperspectral spectroscopy is shown to be a powerful…

机器人学 · 计算机科学 2025-01-22 Mehrad Mortazavi , David J. Cappelleri , Reza Ehsani

Blackgrass (Alopecurus myosuroides) is a competitive weed that has wide-ranging impacts on food security by reducing crop yields and increasing cultivation costs. In addition to the financial burden on agriculture, the application of…

Monitoring the health and vigor of grasslands is vital for informing management decisions to optimize rotational grazing in agriculture applications. To take advantage of forage resources and improve land productivity, we require knowledge…

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

We describe a challenging robotics deployment in a complex ecosystem to monitor a rich plant community. The study site is dominated by dynamic grassland vegetation and is thus visually ambiguous and liable to drastic appearance change over…

Horticultural tasks such as pruning and selective harvesting are labor intensive and horticultural staff are hard to find. Automating these tasks is challenging due to the semi-structured greenhouse workspaces, changing environmental…

机器人学 · 计算机科学 2024-10-02 Christian Lenz , Rohit Menon , Michael Schreiber , Melvin Paul Jacob , Sven Behnke , Maren Bennewitz

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

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

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

Manual pruning is labor intensive and represents up to 25% of annual labor costs in fruit production, notably in apple orchards and vineyards where operational challenges and cost constraints limit the adoption of large-scale machinery. In…

机器人学 · 计算机科学 2025-05-13 Alessandro Navone , Mauro Martini , Marcello Chiaberge

Polyculture farming has environmental advantages but requires substantially more pruning than monoculture farming. We present novel hardware and algorithms for automated pruning. Using an overhead camera to collect data from a physical…