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Related papers: Machine Vision System for 3D Plant Phenotyping

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With the need to feed a growing world population, the efficiency of crop production is of paramount importance. To support breeding and field management, various characteristics of the plant phenotype need to be measured -- a time-consuming…

Thin leaves, fine stems, self-occlusion, non-rigid and slowly changing structures make plants difficult for three-dimensional (3D) scanning and reconstruction -- two critical steps in automated visual phenotyping. Many current solutions…

Computer Vision and Pattern Recognition · Computer Science 2017-02-28 Chuong V Nguyen , Jurgen Fripp , David R Lovell , Robert Furbank , Peter Kuffner , Helen Daily , Xavier Sirault

New imaging techniques are in great demand for investigating underground plant roots systems which play an important role in crop production. Compared with other non-destructive imaging modalities, PET can image plant roots in natural soil…

Quantitative Methods · Quantitative Biology 2015-01-05 Qiang Wang , Sergey Komarov , Aswin J. Mathews , Ke Li , Christopher Topp , Joseph A. O'Sullivan , Yuan-Chuan Tai

Farmers frequently assess plant growth and performance as basis for making decisions when to take action in the field, such as fertilization, weed control, or harvesting. The prediction of plant growth is a major challenge, as it is…

Computer Vision and Pattern Recognition · Computer Science 2023-12-07 Lukas Drees , Laura Verena Junker-Frohn , Jana Kierdorf , Ribana Roscher

Quantifying organism-level phenotypes, such as growth dynamics and biomass accumulation, is fundamental to understanding agronomic traits and optimizing crop production. However, quality growing data of plants at scale is difficult to…

Quantitative Methods · Quantitative Biology 2025-07-10 Adam J Riesselman , Evan M Cofer , Therese LaRue , Wim Meeussen

3D Move To See (3DMTS) is a mutli-perspective visual servoing method for unstructured and occluded environments, like that encountered in robotic crop harvesting. This paper presents a deep learning method, Deep-3DMTS for creating a…

Robotics · Computer Science 2019-08-07 Paul Zapotezny-Anderson , Chris Lehnert

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

Post-genomic research deals with challenging problems in screening genomes of organisms for particular functions or potential for being the targets of genetic engineering for desirable biological features. 'Phenotyping' of wild type and…

Quantitative Methods · Quantitative Biology 2010-09-06 Hesam T. Dashti , Jernej Tonejc , Adel Ardalan , Alireza F. Siahpirani , Sabrina Guettes , Zohreh Sharif , Liya Wang , Amir H. Assadi

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…

Robotics · Computer Science 2024-02-16 Yaoqiang Pan , Kewei Hu , Tianhao Liu , Chao Chen , Hanwen Kang

Plants frequently contain numerous organs, organized in 3D branching systems defining the plant's architecture. Reconstructing the architecture of plants from unstructured observations is challenging because of self-occlusion and spatial…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Samara Ghrer , Christophe Godin , Stefanie Wuhrer

Plant phenotyping, that is, the quantitative assessment of plant traits including growth, morphology, physiology, and yield, is a critical aspect towards efficient and effective crop management. Currently, plant phenotyping is a manually…

Computer Vision and Pattern Recognition · Computer Science 2021-04-15 Annalisa Milella , Roberto Marani , Antonio Petitti , Giulio Reina

In light of growing challenges in agriculture with ever growing food demand across the world, efficient crop management techniques are necessary to increase crop yield. Precision agriculture techniques allow the stakeholders to make…

Computer Vision and Pattern Recognition · Computer Science 2020-06-23 Akshay L Chandra , Sai Vikas Desai , Wei Guo , Vineeth N Balasubramanian

Commercial plant phenotyping systems using fixed cameras cannot perceive many plant details due to leaf occlusion. In this paper, we present Botany-Bot, a system for building detailed "annotated digital twins" of living plants using two…

Plant phenotyping plays a pivotal role in understanding plant traits and their interactions with the environment, making it crucial for advancing precision agriculture and crop improvement. 3D reconstruction technologies have emerged as…

Image and Video Processing · Electrical Eng. & Systems 2025-05-05 Jiajia Li , Xinda Qi , Seyed Hamidreza Nabaei , Meiqi Liu , Dong Chen , Xin Zhang , Xunyuan Yin , Zhaojian Li

Traditional field phenotyping methods are often manual, time-consuming, and destructive, posing a challenge for breeding progress. To address this bottleneck, robotics and automation technologies offer efficient sensing tools to monitor…

Robotics · Computer Science 2024-04-09 Javier Rodriguez-Sanchez , Kyle Johnsen , Changying Li

Crops for food, feed, fiber, and fuel are key natural resources for our society. Monitoring plants and measuring their traits is an important task in agriculture often referred to as plant phenotyping. Traditionally, this task is done…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Gianmarco Roggiolani , Federico Magistri , Tiziano Guadagnino , Jens Behley , Cyrill Stachniss

Future food security is a major concern of the 21st century with the growing global population and climate changes. In addressing these challenges, protected cropping ensures food production year-round and increases crop production per land…

Computational Engineering, Finance, and Science · Computer Science 2024-01-26 Namal Jayasuriya , Yi Guo , Wen Hu , Oula Ghannoum

Indoor gardening within sustainable buildings offers a transformative solution to urban food security and environmental sustainability. By 2030, urban farming, including Controlled Environment Agriculture (CEA) and vertical farming, is…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Seyed Hamidreza Nabaei , Zeyang Zheng , Dong Chen , Arsalan Heydarian

The use of multiple camera technologies in a combined multimodal monitoring system for plant phenotyping offers promising benefits. Compared to configurations that only utilize a single camera technology, cross-modal patterns can be…

Computer Vision and Pattern Recognition · Computer Science 2024-07-04 Eric Stumpe , Gernot Bodner , Francesco Flagiello , Matthias Zeppelzauer

A looming question that must be solved before robotic plant phenotyping capabilities can have significant impact to crop improvement programs is scalability. High Throughput Phenotyping (HTP) uses robotic technologies to analyze crops in…

Machine Learning · Computer Science 2019-01-23 Sumit Kumar , Wenhao Luo , George Kantor , Katia Sycara
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