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In this paper, we present a novel method to control a rigidly connected location on the vehicle, such as a point on the implement in case of agricultural tasks. Agricultural robots are transforming modern farming by enabling precise and…

Systems and Control · Electrical Eng. & Systems 2025-03-11 Stephane Ngnepiepaye Wembe , Vincent Rousseau , Johann Laconte , Roland Lenain

Weed control is a critical challenge in modern agriculture, as weeds compete with crops for essential nutrient resources, significantly reducing crop yield and quality. Traditional weed control methods, including chemical and mechanical…

Computer Vision and Pattern Recognition · Computer Science 2025-02-11 Dingning Liu , Jinzhe Li , Haoyang Su , Bei Cui , Zhihui Wang , Qingbo Yuan , Wanli Ouyang , Nanqing Dong

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…

Robotics · Computer Science 2017-06-21 Christopher Lehnert , Christopher McCool , Tristan Perez

The techniques of precision agriculture include the possibility to execute crop monitoring tasks through the application of Unmanned Aerial Vehicles (UAVs). These platforms are flexible, easy to use and low-cost, and they are the best…

Systems and Control · Computer Science 2018-05-14 Martina Mammarella , Elisa Capello

Achieving long term autonomy of robots operating in dynamic environments such as farms remains a significant challenge. Arguably, the most demanding factors to achieve this are the on-board resource constraints such as energy, planning in…

Robotics · Computer Science 2020-06-25 Stuart Eiffert , Nathan D. Wallace , He Kong , Navid Pirmarzdashti , Salah Sukkarieh

Flooded rice production is crucial to global food security, but there are associated environmental concerns. In particular, it is a significant source of methane and nitrous oxide emissions and a large consumer of water resources, while…

Quantitative Methods · Quantitative Biology 2020-06-05 S. F. U. Islam , A. de Neergaard , B. O. Sander , L. S. Jensen , R. Wassmann , J. W. van Groenigen

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…

Robotics · Computer Science 2025-05-20 Srecharan Selvam

Weed and crop segmentation is becoming an increasingly integral part of precision farming that leverages the current computer vision and deep learning technologies. Research has been extensively carried out based on images captured with a…

Computer Vision and Pattern Recognition · Computer Science 2022-10-24 Junfeng Gao , Wenzhi Liao , David Nuyttens , Peter Lootens , Erik Alexandersson , Jan Pieters

In the last few years, robotic technology has been increasingly employed in agriculture to develop intelligent vehicles that can improve productivity and competitiveness. Accurate and robust environmental perception is a critical…

Robotics · Computer Science 2021-04-13 Giulio Reina , Annalisa Milella , Raphael Rouveure , Michael Nielsen , Rainer Worst , Morten R. Blas

Agricultural robotics and automation are facing some challenges rooted in the high variability 9 of products, task complexity, crop quality requirement, and dense vegetation. Such a set of 10 challenges demands a more versatile and safe…

Robotics · Computer Science 2023-12-04 Ali Leylavi Shoushtari

Expensive sensors and inefficient algorithmic pipelines significantly affect the overall cost of autonomous machines. However, affordable robotic solutions are essential to practical usage, and their financial impact constitutes a…

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…

Robotics · Computer Science 2021-11-22 Chen Peng

Weed mapping plays a critical role in precision management by providing accurate and timely data on weed distribution, enabling targeted control and reduced herbicide use. This minimizes environmental impacts, supports sustainable land…

Computer Vision and Pattern Recognition · Computer Science 2026-02-03 Mohammad Jahanbakht , Alex Olsen , Ross Marchant , Emilie Fillols , Mostafa Rahimi Azghadi

Accurate weed management is essential for mitigating significant crop yield losses, necessitating effective weed suppression strategies in agricultural systems. Integrating cover crops (CC) offers multiple benefits, including soil erosion…

Robotics · Computer Science 2025-06-30 Joe Johnson , Phanender Chalasani , Arnav Shah , Ram L. Ray , Muthukumar Bagavathiannan

Containerized vertical farming is a type of vertical farming practice using hydroponics in which plants are grown in vertical layers within a mobile shipping container. Space limitations within shipping containers make the automation of…

Uncontrolled growth of weeds can severely affect the crop yield and quality. Unrestricted use of herbicide for weed removal alters biodiversity and cause environmental pollution. Instead, identifying weed-infested regions can aid selective…

Computer Vision and Pattern Recognition · Computer Science 2021-02-22 Shantam Shorewala , Armaan Ashfaque , Sidharth R , Ujjwal Verma

Sustainable agriculture plays a crucial role in ensuring world food security for consumers. A critical challenge faced by sustainable precision agriculture is weed growth, as weeds compete for essential resources with crops, such as water,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Omar H. Khater , Abdul Jabbar Siddiqui , M. Shamim Hossain , Aiman El-Maleh

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…

Computer Vision and Pattern Recognition · Computer Science 2025-02-19 Ekin Celikkan , Timo Kunzmann , Yertay Yeskaliyev , Sibylle Itzerott , Nadja Klein , Martin Herold

To fight climate change and accommodate the increasing population, global crop production has to be strengthened. To achieve the "sustainable intensification" of agriculture, transforming it from carbon emitter to carbon sink is a priority,…

Machine Learning · Computer Science 2022-11-08 Georgios Giannarakis , Vasileios Sitokonstantinou , Roxanne Suzette Lorilla , Charalampos Kontoes

Modern agriculture heavily relies on Site-Specific Farm Management practices, necessitating accurate detection, localization, and quantification of crops and weeds in the field, which can be achieved using deep learning techniques. In this…

Computer Vision and Pattern Recognition · Computer Science 2024-06-17 Muhammad Hamza Asad , Saeed Anwar , Abdul Bais