Study and evaluation of a plant form modeling system based on the Lindenmayer system

2018 ◽  
Vol 09 (03) ◽  
pp. 1840008 ◽  
Author(s):  
Taiyo Maeda ◽  
Yasuhiko Manabe ◽  
Shigeo Kawata
Keyword(s):  
Image Processing ◽  
Plant Growth ◽  
Large Scale ◽  
Developmental Change ◽  
Diagnostic System ◽  
Plant Science ◽  
Healthy Plant ◽  
Science And Engineering ◽  
Lindenmayer System ◽  
Plant Form

In order to evaluate and recognize plant growth automatically based on photos of plants in plant science and engineering, we propose a diagnostic system for plant growth in which simulated plant growth is used as a reference for real growing plants. In our diagnostic system, we employ the Lindenmayer system [Lecture Notes in Computer Science, 15, 53–68, 1974] to model healthy growing plants. In the Lindenmayer system plant growth is expressed by string expressions designed as a numerical model for the plant. This proposal system provides users the string expressions by using image processing. As users compare with two strings such as DNA sequence genetic code, users obtain developmental change of plat growth. The results show that our automatic plant diagnostic system is effective in checking actual healthy plant growth, and suggest that the diagnostic system should be useful in large-scale plant factories.

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

scholarly journals C4 Bacterial Volatiles Improve Plant Health

Pathogens ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 682
Author(s):  
Bruno Henrique Silva Dias ◽  
Sung-Hee Jung ◽  
Juliana Velasco de Castro Oliveira ◽  
Choong-Min Ryu
Keyword(s):  
Plant Growth ◽  
Volatile Compounds ◽  
Large Scale ◽  
Growth Promotion ◽  
Plant Growth Promoting Rhizobacteria ◽  
Plant Health ◽  
Systemic Resistance ◽  
Potential Applications ◽  
Plant Growth Promoting ◽  
Bacterial Volatiles

Plant growth-promoting rhizobacteria (PGPR) associated with plant roots can trigger plant growth promotion and induced systemic resistance. Several bacterial determinants including cell-wall components and secreted compounds have been identified to date. Here, we review a group of low-molecular-weight volatile compounds released by PGPR, which improve plant health, mostly by protecting plants against pathogen attack under greenhouse and field conditions. We particularly focus on C4 bacterial volatile compounds (BVCs), such as 2,3-butanediol and acetoin, which have been shown to activate the plant immune response and to promote plant growth at the molecular level as well as in large-scale field applications. We also disc/ uss the potential applications, metabolic engineering, and large-scale fermentation of C4 BVCs. The C4 bacterial volatiles act as airborne signals and therefore represent a new type of biocontrol agent. Further advances in the encapsulation procedure, together with the development of standards and guidelines, will promote the application of C4 volatiles in the field.

scholarly journals Engineering Climate-Change-Resilient Crops: New Tools and Approaches

2021 ◽  
Vol 22 (15) ◽  
pp. 7877
Author(s):  
Fahimeh Shahinnia ◽  
Néstor Carrillo ◽  
Mohammad-Reza Hajirezaei
Keyword(s):  
Climate Change ◽  
Plant Growth ◽  
Sustainable Agriculture ◽  
Stress Tolerance ◽  
Crop Yield ◽  
Plant Science ◽  
Chemical Treatments ◽  
Coated Nanoparticles ◽  
Rapid Climate Change ◽  
Protective Resources

Environmental adversities, particularly drought and nutrient limitation, are among the major causes of crop losses worldwide. Due to the rapid increase of the world’s population, there is an urgent need to combine knowledge of plant science with innovative applications in agriculture to protect plant growth and thus enhance crop yield. In recent decades, engineering strategies have been successfully developed with the aim to improve growth and stress tolerance in plants. Most strategies applied so far have relied on transgenic approaches and/or chemical treatments. However, to cope with rapid climate change and the need to secure sustainable agriculture and biomass production, innovative approaches need to be developed to effectively meet these challenges and demands. In this review, we summarize recent and advanced strategies that involve the use of plant-related cyanobacterial proteins, macro- and micronutrient management, nutrient-coated nanoparticles, and phytopathogenic organisms, all of which offer promise as protective resources to shield plants from climate challenges and to boost stress tolerance in crops.

scholarly journals Thoracic low-dose CT image processing using an artifact suppressed large-scale nonlocal means

2012 ◽  
Vol 57 (9) ◽  
pp. 2667-2688 ◽  
Author(s):  
Yang Chen ◽  
Zhou Yang ◽  
Yining Hu ◽  
Guanyu Yang ◽  
Yongcheng Zhu ◽  
...  
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Low Dose ◽  
Ct Image ◽  
Nonlocal Means ◽  
Low Dose Ct

Massive Image Treatment System Based on Cloud Computing Platform

2014 ◽  
Vol 687-691 ◽  
pp. 3733-3737
Author(s):  
Dan Wu ◽  
Ming Quan Zhou ◽  
Rong Fang Bie
Keyword(s):  
Image Processing ◽  
Cloud Computing ◽  
High Performance ◽  
Large Scale ◽  
Processing System ◽  
Virtual Space ◽  
Image Processing System ◽  
Computing Platform ◽  
Simulation Calculation ◽  
Computer Resources

Massive image processing technology requires high requirements of processor and memory, and it needs to adopt high performance of processor and the large capacity memory. While the single or single core processing and traditional memory can’t satisfy the need of image processing. This paper introduces the cloud computing function into the massive image processing system. Through the cloud computing function it expands the virtual space of the system, saves computer resources and improves the efficiency of image processing. The system processor uses multi-core DSP parallel processor, and develops visualization parameter setting window and output results using VC software settings. Through simulation calculation we get the image processing speed curve and the system image adaptive curve. It provides the technical reference for the design of large-scale image processing system.

Pruning and training.

2021 ◽  
Author(s):  
Lynette Morgan
Keyword(s):  
Plant Growth ◽  
Ornamental Plants ◽  
Training Methods ◽  
Aesthetic Value ◽  
Diverse Range ◽  
Horticultural Crops ◽  
Plant Form ◽  
Ease Of Access ◽  
The Aesthetic ◽  
And Training

Abstract Manipulation of plant growth via pruning and training methods has been carried out for as long as crops have been cultivated by man. These methods serve to not only improve the aesthetic value of ornamental plants, but also to increase yields, optimise fruit quality and prolong the productive life of horticultural crops. Pruning involves the selective removal of a diverse range of plant tissue. Branches, stems, roots, buds, flowers, leaves and young fruitlets may all be pruned depending on the purpose, species and growth form of the crop this is applied to. Training methods for horticultural applications are primarily used to support the plant and the weight of produce as it develops. Training structurally alters plant form, to alter the shape, size and direction of plant growth, it also allows optimal light interception and air flow and for ease of access for harvesting and other operations.

A Vision-Based Gap Detection Method during the Placement of Large-Scale Composite Structures

2011 ◽  
Vol 186 ◽  
pp. 11-15
Author(s):  
Li Cao ◽  
Wen Chen ◽  
Jun Xiao
Keyword(s):  
Image Processing ◽  
Video Processing ◽  
Composite Structures ◽  
Large Scale ◽  
Low Cost ◽  
High Quality ◽  
Detection Technology ◽  
Gap Measurement ◽  
Automatic Placement ◽  
On Line

Video processing technology is regarded as a low-cost detection technology in complex environment. Because the placement layer is thin and the surface is complex that causes high detection error and high cost in laser measurement. Two problems must be solved before using it in large-scale composite structures automatic placement. One is to obtain the high-quality and stable image, and the other is to improve efficiency of image processing. In this paper, a method obtaining the high quality placement gap images was studied. It made use of the optical characteristics of composite material’s surface texture. And some parameters were determined by experiments. To reduce the calculation cost of image processing, a placement gap measurement method based on line scanning was also proposed here. The method was effective in our detection experiments on an actual workpiece.

scholarly journals Su Kısıtı Koşullarında Biber (Capsicum annuum L.) Bitkisinde Mikoriza Uygulamasının Vejetatif ve Generatif Gelişme Üzerinde Etkileri

2020 ◽  
Vol 8 (4) ◽  
pp. 927-931
Author(s):  
Kamile Ulukapı ◽  
Zehra Kurt ◽  
Sevinc Sener
Keyword(s):  
Plant Growth ◽  
Mycorrhizal Fungi ◽  
Arbuscular Mycorrhizal ◽  
Solid Content ◽  
Healthy Plant ◽  
Soluble Solid Content ◽  
Glomus Etunicatum ◽  
Irrigation Level ◽  
Soluble Solid ◽  
Number Of Leaves

Arbuscular mycorrhizal fungi (AMF), which are beneficial soil organisms, have an important role in the uptake of plant nutrients by roots and thus help to healthy plant growth. The aim of this study was to determine the effects of AMF inoculation on the development of water-deficiency applied pepper plants. In this study, Tesla F1 pepper cultivars, Glomus etunicatum inoculated and without Glomus etunicatum, were exposed to four different irrigation regimes (25I, 50I, 75I, 100I). At the end of the experiment these plants were compared in terms of some vegetative and fruit properties. For this purpose, at the end of the trial; shoot length (cm), root length (cm), root spread (cm), number of leaves, leaf width and length (mm), stem diameter (mm), fruit width (mm), fruit length (mm), root and shoot weights (g), fruit pH, total soluble solid content and chlorophyll index were measured. P (phosphorus) and K (potassium) contents of leaves samples taken from plants were determined. As a result, it was determined that 75I irrigation regime gave the best results in terms of both plant growth and fruit properties in all mycorrhizal and non-mycorrhizal plants. It was also concluded that 75% irrigation level is sufficient for plant growth.

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