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Straightforward physical arguments are used to derive the properties of Lyman-alpha forest absorbers. It is shown that many aspects of the current physical picture of the forest, in particular the fact that the absorption arises in extended…

Astrophysics · Physics 2009-11-06 Joop Schaye

Semantic segmentation is a fundamental task for agricultural robots to understand the surrounding environments in natural orchards. The recent development of the LiDAR techniques enables the robot to acquire accurate range measurements of…

Computer Vision and Pattern Recognition · Computer Science 2022-11-04 Hanwen Kang , Xing Wang

The sky subtraction performances of multi-fiber spectrographs are discussed, analysing in detail the case of the OPTOPUS system at the 3.6 meter ESO telescope at La Silla. A standard technique, based on flat-fields obtained with a uniformly…

Astrophysics · Physics 2009-10-22 C. Lissandrini , S. Cristiani , F. La Franca

Crop yield estimation is a relevant problem in agriculture, because an accurate yield estimate can support farmers' decisions on harvesting or precision intervention. Robots can help to automate this process. To do so, they need to be able…

Computer Vision and Pattern Recognition · Computer Science 2025-06-27 Matteo Sodano , Federico Magistri , Elias Marks , Fares Hosn , Aibek Zurbayev , Rodrigo Marcuzzi , Meher V. R. Malladi , Jens Behley , Cyrill Stachniss

We propose a 3D color point cloud processing pipeline to count apples on individual apple trees in trellis structured orchards. Fruit counting at the tree level requires separating trees, which is challenging in dense orchards. We employ…

Computer Vision and Pattern Recognition · Computer Science 2020-12-29 Mouad Zine-El-Abidine , Helin Dutagaci , Gilles Galopin , David Rousseau

This paper presents a non-parametric approach for segmenting trees from airborne LiDAR data in deciduous forests. Based on the LiDAR point cloud, the approach collects crown information such as steepness and height on-the-fly to delineate…

Computer Vision and Pattern Recognition · Computer Science 2017-01-03 Hamid Hamraz , Marco A. Contreras , Jun Zhang

Automated vehicles require an accurate perception of their surroundings for safe and efficient driving. Lidar-based object detection is a widely used method for environment perception, but its performance is significantly affected by…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Raphael van Kempen , Tim Rehbronn , Abin Jose , Johannes Stegmaier , Bastian Lampe , Timo Woopen , Lutz Eckstein

Quantifying the vertical distribution of atmospheric aerosols is crucial for estimating their impact on the Earth energy budget and climate, improving forecast of air pollution in cities, and reducing biases in the retrieval of greenhouse…

Atmospheric and Oceanic Physics · Physics 2019-08-19 Zhao-Cheng Zeng , Sihe Chen , Vijay Natraj , Tianhao Le , Feng Xu , Aronne Merrelli , David Crisp , Stanley P. Sander , Yuk L. Yung

Field robotic harvesting is a promising technique in recent development of agricultural industry. It is vital for robots to recognise and localise fruits before the harvesting in natural orchards. However, the workspace of harvesting robots…

Robotics · Computer Science 2022-01-24 Hanwen Kang , Xing Wang , Chao Chen

Scattered trees outside of dense, closed-canopy forests are very important for carbon sequestration, supporting livelihoods, maintaining ecosystem integrity, and climate change adaptation and mitigation. In contrast to trees inside of…

Computer Vision and Pattern Recognition · Computer Science 2021-02-03 John Brandt , Fred Stolle

Trees are key components of the terrestrial biosphere, playing vital roles in ecosystem function, climate regulation, and the bioeconomy. However, large-scale monitoring of individual trees remains limited by inadequate modelling. Available…

Computer Vision and Pattern Recognition · Computer Science 2025-09-01 Dimitri Gominski , Martin Brandt , Xiaoye Tong , Siyu Liu , Maurice Mugabowindekwe , Sizhuo Li , Florian Reiner , Andrew Davies , Rasmus Fensholt

Accurate and consistent methods for counting trees based on remote sensing data are needed to support sustainable forest management, assess climate change mitigation strategies, and build trust in tree carbon credits. Two-dimensional remote…

Computer Vision and Pattern Recognition · Computer Science 2024-03-13 Lei Li , Tianfang Zhang , Zhongyu Jiang , Cheng-Yen Yang , Jenq-Neng Hwang , Stefan Oehmcke , Dimitri Pierre Johannes Gominski , Fabian Gieseke , Christian Igel

Following a global trend, the lack of reliable access to skilled labour is causing critical issues for the effective management of apple orchards. One of the primary challenges is maintaining skilled human operators capable of making…

We present techniques to measure crop heights using a 3D Light Detection and Ranging (LiDAR) sensor mounted on an Unmanned Aerial Vehicle (UAV). Knowing the height of plants is crucial to monitor their overall health and growth cycles,…

Robotics · Computer Science 2023-06-02 Harnaik Dhami , Kevin Yu , Tianshu Xu , Qian Zhu , Kshitiz Dhakal , James Friel , Song Li , Pratap Tokekar

A Monte Carlo simulation has been performed to track light rays in cylindrical multimode fibres by ray optics. The trapping efficiencies for skew and meridional rays in active fibres and distributions of characteristic quantities for all…

Nuclear Experiment · Physics 2015-06-26 Patrick Achenbach , John H Cobb

In robotic fruit picking applications, managing object occlusion in unstructured settings poses a substantial challenge for designing grasping algorithms. Using strawberry harvesting as a case study, we present an end-to-end framework for…

Robotics · Computer Science 2025-06-18 Ali Abouzeid , Malak Mansour , Chengsong Hu , Dezhen Song

Apricot which is a cultivated type of Zerdali (wild apricot) has an important place in human nutrition and its medical properties are essential for human health. The objective of this research was to obtain a model for apricot mass and…

Computer Vision and Pattern Recognition · Computer Science 2019-12-30 Seyed Vahid Mirnezami , Ali HamidiSepehr , Mahdi Ghaebi

The characterization of the optical properties of the atmosphere in the near UV, in particular the tropospheric aerosol stratification, clouds optical depth and spatial distribution are common in the field of atmospheric physics, due to…

Instrumentation and Methods for Astrophysics · Physics 2014-03-25 M. Buscemi , C. Cassardo , M. Cilmo , M. Coco , S. Ferrarese , F. Guarino , A. S. Tonachini , L. Valore , L. Wiencke

The tree pruning process is the key to promoting fruits' growth and improving their productions due to effects on the photosynthesis efficiency of fruits and nutrition transportation in branches. Currently, pruning is still highly dependent…

Computer Vision and Pattern Recognition · Computer Science 2022-07-11 Yuefei Chen , Xinli Zheng , Chunhua Ju , Fuguang Bao

Modern agricultural applications require knowledge about the position and size of fruits on plants. However, occlusions from leaves typically make obtaining this information difficult. We present a novel viewpoint planning approach that…

Robotics · Computer Science 2021-08-19 Tobias Zaenker , Claus Smitt , Chris McCool , Maren Bennewitz