scholarly journals Virtual Plant Tissue: Building Blocks for Next-Generation Plant Growth Simulation

2017 ◽  
Vol 8 ◽  
Author(s):  
Dirk De Vos ◽  
Abdiravuf Dzhurakhalov ◽  
Sean Stijven ◽  
Przemyslaw Klosiewicz ◽  
Gerrit T. S. Beemster ◽  
...  
Keyword(s):  
Plant Growth ◽  
Plant Tissue ◽  
Building Blocks ◽  
Next Generation ◽  
Growth Simulation ◽  
Virtual Plant ◽  
Generation Plant

An intelligent VegeCareAI tool for next generation plant growth management

2021 ◽  
Vol 14 ◽  
pp. 100381
Author(s):  
Makoto Ikeda ◽  
Natwadee Ruedeeniraman ◽  
Leonard Barolli
Keyword(s):  
Plant Growth ◽  
Growth Management ◽  
Next Generation ◽  
Generation Plant

Highly efficient and dual broad emitting light convertor: an option for next-generation plant growth LEDs

2019 ◽  
Vol 7 (12) ◽  
pp. 3617-3622 ◽  
Author(s):  
Mingcai Li ◽  
Xuejie Zhang ◽  
Haoran Zhang ◽  
Weibin Chen ◽  
Li Ma ◽  
...  
Keyword(s):  
Gallium Nitride ◽  
Plant Growth ◽  
Blue Light ◽  
Red Light ◽  
Light Sources ◽  
Full Width ◽  
Half Maximum ◽  
Next Generation ◽  
Led Light ◽  
Generation Plant

At present, blue-red composite LED light sources used for plant lighting are mainly composed of blue light and red light; the blue light is provided by gallium nitride LED chips, but the full-width at half-maximum (FWHW) is only approximately 25 nm, while the blue light required by plants for photosynthesis is wider.

Growth Simulation of Young Chinese Fir Based on Virtual Plant

2012 ◽  
Vol 14 (5) ◽  
pp. 569 ◽  
Author(s):  
Liyu TANG ◽  
Ding LIN ◽  
Hongyu HUANG ◽  
Jie ZOU ◽  
Chongcheng CHEN ◽  
...  
Keyword(s):  
Chinese Fir ◽  
Growth Simulation ◽  
Virtual Plant

Culture of Hydrilla (Hydrilla verticillata) in Sand Root Media Amended with Three Fertilizers

Weed Science ◽  
1986 ◽  
Vol 34 (1) ◽  
pp. 34-39 ◽  
Author(s):  
David L. Sutton
Keyword(s):  
Plant Growth ◽  
Plant Tissue ◽  
Root Zone ◽  
Hydrilla Verticillata ◽  
Dry Weight ◽  
Pond Water ◽  
Sand Soil ◽  
Plant Weight ◽  
Root Media ◽  
Tuber Production

Hydrilla [Hydrilla verticillata(L.f.) Royle # HYLLI] was grown for 4 to 16 weeks in pans filled with either an organic muck-sand soil, sand, or sand mixed with Osmocote, Esmigran, and dolomite under outdoor conditions in plastic-lined pools with flowing pond water. Dry weight for plants cultured in sand plus the fertilizers was dependent on the concentration of fertilizer and was from 6 to 14 times that of plants cultured in sand alone. Dry weight was also higher for three treatments of sand amended with fertilizer than for plants cultured in the organic muck-sand soil. Water temperature for different growth periods influenced dry weight of hydrilla cultured with all three root media. Tuber production was independent of three levels of fertilizer for 16 weeks of plant growth, but plant weight was dependent on the concentration of nutrients in the root zone. Of nine plant tissue nutrients measured, only phosphorus in both the shoots and roots was dependent on the level of fertilizer in the root zone. This suggests that growth of hydrilla is controlled by nutrients in the root zone. The use of sand amended with various levels of fertilizers may be a way to simulate fertility levels of sediments as a method to study aquatic sites for their potential to support growth of hydrilla.

scholarly journals Recent Progress in the Synthesis and Characterization of Diarylethene-based MOFs

2014 ◽  
Vol 70 (a1) ◽  
pp. C1223-C1223
Author(s):  
Jason Benedict ◽  
Ian Walton ◽  
Dan Patel ◽  
Jordan Cox
Keyword(s):  
Chemical Properties ◽  
Building Blocks ◽  
Synthesis And Characterization ◽  
Next Generation ◽  
Design Synthesis ◽  
Thermally Induced ◽  
Potential Applications ◽  
External Stimuli ◽  
Physical And Chemical

Metal-organic Frameworks (MOFs) remain an extremely active area of research given the wide variety of potential applications and the enormous diversity of structures that can be created from their constituent building blocks. While MOFs are typically employed as passive materials, next-generation materials will exhibit structural and/or electronic changes in response to applied external stimuli including light, charge, and pH. Herein we present recent results in which advanced photochromic diarylethenes are combined with MOFs through covalent and non-covalent methods to create photo-responsive permanently porous crystalline materials. This presentation will describe the design, synthesis, and characterization of next-generation photo-switchable diarylethene based ligands which are subsequently used to photo-responsive MOFs. These UBMOF crystals are, by design, isostructural with previously reported non-photoresponsive frameworks which enables a systematic comparison of their physical and chemical properties. While the photoswitching of the isolated ligand in solution is fully reversible, the cycloreversion reaction is suppressed in the UBMOF single crystalline phase. Spectroscopic evidence for thermally induced cycloreversion will be presented, as well as a detailed analysis addressing the limits of X-ray diffraction techniques applied to these systems.

scholarly journals Performance of Ornamental Plants in Alternative Organic Growing Media Amended with Increasing Rates of Expanded Shale

2010 ◽  
Vol 20 (3) ◽  
pp. 594-602 ◽  
Author(s):  
John J. Sloan ◽  
Raul I. Cabrera ◽  
Peter A.Y. Ampim ◽  
Steve A. George ◽  
Wayne A. Mackay
Keyword(s):  
Organic Matter ◽  
Plant Growth ◽  
Plant Tissue ◽  
Biomass Yield ◽  
Organic Materials ◽  
Total Biomass ◽  
Light Weight ◽  
Growing Media ◽  
Micronutrient Uptake ◽  
Expanded Shale

Organic and inorganic amendments are often used to improve chemical and physical properties of soils. The objective of this study was to determine how the inclusion of light-weight expanded shale in various organic matter blends would affect plant performance. Four basic blends of organic growing media were prepared using traditional or alternative organic materials: 1) 75% pine bark (PB) + 25% sphagnum peatmoss (PM), 2) 50% PB + 50% wastewater biosolids (BS), 3) 100% municipal yard waste compost (compost), and 4) 65% PB + 35% cottonseed hulls (CH). Light-weight expanded shale was then blended with each of these mixtures at rates of 0%, 15%, 30%, and 60% (v/v). Vinca (Catharanthus roseus), verbena (Verbena hybrida), and shantung maple (Acer truncatum) were planted into the growing media after they were transferred into greenhouse pots. Vinca growth was monitored for 3 months before harvesting aboveground plant tissue to determine total biomass yield and elemental composition. Verbena growth was monitored for 6 months, during which time aboveground plant tissue was harvested twice to determine total biomass yield. Additionally, aboveground vinca plant tissue was analyzed for nutrients and heavy metal concentrations. In the absence of expanded shale, verbena and shantung maple trees produced more aboveground biomass in the 50-PB/50-BS blends, whereas vinca grew more biomass in the pure compost blends. Inclusion of expanded shale in the various organic matter blends generally had a negative effect on plant growth, with the exception of shantung maple growth in the 65-PB/35-CH blend. Reduced plant growth was probably due to a lower concentration of nutrients in the growing media. Macro- and micronutrient uptake was generally reduced by addition of expanded shale to the organic growing media. Results suggest that organic materials that have been stabilized through prior decomposition, such as compost or PM, are safe and reliable growing media, but expanded shale offers few benefits to a container growing medium except in cases where additional porosity is needed.

scholarly journals Autonomous Terrestrial Image Segmentation and Sensor Node Localization for Disaster Management using Plant Growth Simulation Algorithm

2017 ◽  
Author(s):  
Deblina Bhattacharjee ◽  
Anand Paul ◽  
Won-Hwa Hong ◽  
HyunCheol Seo ◽  
Karthik S.
Keyword(s):  
Plant Growth ◽  
Emergency Response ◽  
Sensor Nodes ◽  
Simulation Algorithm ◽  
Sources Of Information ◽  
Node Localization ◽  
Growth Simulation ◽  
Aerial Vehicle ◽  
Disaster Monitoring ◽  
Plant Growth Simulation Algorithm

The use of unmanned aerial vehicle (UAV) during emergency response of a disaster has been widespread in recent years and the terrain images captured by the cameras on board these vehicles are significant sources of information for such disaster monitoring operations. Thus, analyzing such images are important for assessing the terrain of interest during such emergency response operations. Further, these UAVs are mainly used in disaster monitoring systems for the automated deployment of sensor nodes in real time. Therefore, deploying and localizing the wireless sensor nodes optimally, only in the regions of interest that are identified by segmenting the images captured by UAVs, hold paramount significance thereby effecting their performance. In this paper, the highly effective nature-inspired Plant Growth Simulation Algorithm (PGSA) has been applied for the segmentation of such terrestrial images and also for the localization of the deployed sensor nodes. The problem is formulated as a multi-dimensional optimization problem and PGSA has been used to solve it. Furthermore, the proposed method has been compared to other existing evolutionary methods and simulation results show that PGSA gives better performance with respect to both speed and accuracy unlike other techniques in literature.

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