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Estimation of morphological traits of foliage and effective plant spacing in NFT-based aquaponics system

Artificial Intelligence in Agriculture 2023年第3期9卷 76-88页

作者： R.abbasi P.Martinez R.Ahmad Aquaponics 4.0 Learning Factory(AllFactory) Department of Mechanical EngineeringUniversity of Alberta9211116 St.EdmontonAB T6G 2G8Canada Mechanical and Construction Engineering Department Northumbria UniversityNewcastle upon Tyne NE77YTUK

Deep learning and computer vision techniques have gained significant attention in the agriculture sector due to their non-destructive and contactless *** techniques are also being integrated into modern farming systems,such as aquaponics,to address the challenges hindering its commercialization and large-scale *** is a farming technology that combines a recirculating aquaculture system and soilless hydroponics agriculture,that promises to address food security *** complement the current research efforts,a methodology is proposed to automatically measure the morphological traits of crops such as width,length and area and estimate the effective plant spacing between grow *** spacing is one of the key design parameters that are dependent on crop type and its morphological traits and hence needs to be monitored to ensure high crop yield and quality which can be impacted due to foliage occlusion or overlapping as the crop *** proposed approach uses Mask-RCNN to estimate the size of the crops and a mathematical model to determine plant spacing for a self-adaptive aquaponics *** common little gem romaine lettuce,the growth is estimated within 2 cm of error for both length and *** final model is deployed on a cloud-based application and integrated with an ontology model containing domain knowledge of the aquaponics *** relevant knowledge about crop characteristics and optimal plant spacing is extracted from ontology and compared with results obtained from the final model to suggest further *** proposed application finds its signifi-cance as a decision support system that can pave the way for intelligent system monitoring and control.

关键词： Deep learning Ontology modeling Crop phenotyping Leafy crops Aquaponics Digital farming Plant spacing

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Crop diagnostic system:A robust disease detection and management system for leafy green crops grown in an aquaponics facility

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Artificial Intelligence in Agriculture 2023年第4期10卷 1-12页

Crops grown on aquaponics farms are susceptible to various diseases or biotic stresses during their growth cycle,just like traditional *** early detection of diseases is crucial to witnessing the efficiency and progress of the aquaponics *** combines recirculating aquaculture and soilless hydroponics methods and promises to ensure food security,reduce water scarcity,and eliminate carbon *** the large-scale imple-mentation of this farming technique,a unified system is needed that can detect crop diseases and support re-searchers and farmers in identifying potential causes and treatments at early *** study proposes an automatic crop diagnostic system for detecting biotic stresses and managing diseases in four leafy green crops,lettuce,basil,spinach,and parsley,grown in an aquaponics ***,a dataset comprising 2640 images is ***,a disease detection system is developed that works in three *** first phase is a crop clas-sification system that identifies the type of *** second phase is a disease identification system that determines the crop's health *** final phase is a disease detection system that localizes and detects the diseased and healthy spots in leaves and categorizes the *** proposed approach has shown promising results with accuracy in each of the three phases,reaching 95.83%,94.13%,and 82.13%,*** final dis-ease detection system is then integrated with an ontology model through a cloud-based *** ontol-ogy model contains domain knowledge related to crop pathology,particularly causes and treatments of different diseases of the studied leafy green crops,which can be automatically extracted upon disease detection allowing agricultural practitioners to take precautionary *** proposed application finds its significance as a de-cision support system that can automate aquaponics facility health monitoring and assist agricultural practi-tione

关键词： Computer vision Deep learning Disease detection Leafy crops Aquaponics Digital farming

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A new approach for accurate determination of particle sizes in microfluidic impedance cytometry

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Nanotechnology and Precision Engineering 2022年第4期5卷 8-17页

作者： N.Priyadarshi Usama Ahmed abbasi V.Kumaran P.Chowdhury Department of Chemical Engineering Indian Institute of ScienceBangalore 560012India Pratimesh Laboratory Indian Institute of ScienceBangalore 560012India Nanomaterials Research Laboratory Surface Engineering DivisionCSIR–National Aerospace LaboratoriesBangalore 560017India

In microfluidic impedance cytometry,the change in impedance is recorded as an individual cell passes through a channel between electrodes deposited on its walls,and the particle size is inferred from the amplitude of the impedance signal using ***,because the current density is nonuniform between electrodes of finite width,there could be an error in the particle size measurement because of uncertainty about the location of the particle in the channel cross ***,a correlation is developed relating the particle size to the signal amplitude and the velocity of the particle through the *** latter is inferred from the time interval between the two extrema in the impedance curve as the particle passes through a channel with cross-sectional dimensions of 50μm(width)×30μm(height)with two pairs of parallel facing *** change in impedance is predicted using 3D COMSOL finite-element simulations,and a theoretical correlation that is independent of particle size is formulated to correct the particle diameter for variations in the cross-sectional *** this correlation,the standard deviation in the experimental data is reduced by a factor of two to close to the standard deviation reported in the manufacturer specifications.

关键词： Impedance cytometry Lab on chip COMSOL simulation

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CFD simulations of a semi-transverse ventilation system in a long tunnel

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Underground Space 2023年第4期11卷 153-170页

作者： Alireza Dastan Mohammad Rahiminejad Mozhgan Sabz Meisam abbasi Ali Mokhtari Sasan Sadrizadeh Omid Abouali Department of Mechanical Engineering Faculty of EngineeringUniversity of IsfahanIsfahan 81746-73441Iran School of Mechanical Engineering Shiraz UniversityShiraz 71936-16548Iran Department of Mechanical Engineering University of AlbertaEdmonton T6G 2R3Canada Department of Civil and Architectural Engineering KTH UniversityStockholm 10044Sweden

In the present work,a semi-transverse ventilation system in a long tunnel with a length of 4.9 km,as a complex case study,is numer-ically studied by performing a set of three-dimensional steady incompressible computational fluid dynamics(CFD)*** ven-tilation system consisted of a ceiling duct connected to two axial fans at the ending portals,and a series of jet fans in the main tunnel for supporting airflow in the desired *** focus on what can and cannot be achieved in commissioning tests,the ventilation system’s performance in various scenarios is numerically evaluated with two different tunnel states;empty tunnel and complete traffic congestion with 1176 stationary vehicles–which is almost impossible to evaluate during a commissioning *** considering two hypothetical loca-tions for the extraction zone from the main tunnel(in a distance of 450 and 1000 m from one portal),it is shown that the required number of jet fans in a traffic condition drops from 57 for the first extraction location to 43(25%decrease)when the ventilation system extracts from the second *** show that if only the close axial fan to the extraction zone is activated,the required number of jet fans reduces by 56%and 72%for the first and second extraction locations,*** finding can provide a cheaper and easier controlling scenario for emergency ventilation.

关键词： CFD Semi-transverse ventilation Tunnel Ceiling duct Traffic

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Biosynthesis of titanium dioxide nanoparticles using Hypericum perforatum and Origanum vulgare extracts and their main components,hypericin and carvacrol as promising antibacterial agents

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Journal of Traditional Chinese Medicine 2022年第2期42卷 167-175页

作者： Mojtaba Khaksarian Mahmoud Bahmani Morovat Taherikalani Behnam Ashrafi Mahmoud Rafieian-Kopaei Naser abbasi Department of Physiology and Pharmacology School of MedicineRazi Herbal Medicines Research CenterLorestan University of Medical SciencesKhorramabadIran Biotechnology and Medicinal Plants Research Center Ilam University of Medical SciencesIlamIran Razi Herbal Medicines Research Center Lorestan University of Medical SciencesKhorramabadIran Department of Microbiology School of MedicineLorestan University of Medical SciencesKhorramabadIran Medical Plants Research Center Basic Health Sciences InstituteShahrekord University of Medical SciencesShahrekordIran department of Pharmacology Faculty of Medicine Ilam University of Medical Sciences IlamIran

OBJECTIVE:To evaluate the anti-bacterial activities of titanium dioxide(Ti O;)nanoparticles of Origanum(O.)vulgare and Hypericum(H.)perforatum extracts,carvacrol and hypericin against Staphylococcus(S.)***:In this study,Ti O;nanoparticles of *** and *** extracts,carvacrol and hypericin,were prepared and their antibacterial effects were evaluated against Staphylococcus(S.)*** this study,scanning electron microscope,fourier transform infrared spectrometer,atomic force microscopy,dynamic light scattering and zeta potential were used to investigate the structure of synthesized ***:Anti-bacterial activity of synthesized NPs was tested by minimum inhibitory concentration(MIC),minimum bactericidal concentration and disc diffusion *** of Ti O;-NPs synthesized using ***,***,carvacrol and hypericin and Ti O;were obtained 250,62.5,250,and 250,and 500μg/m L,*** MBCs for all of these were obtained 1000μg/m ***:Green-synthesized of Ti O;nanoparticles provides a promising approach to the use of *** and ***,carvacrol and hypericin as novel agents and safer antibacterial compounds,especially *** compounds.

关键词： plant medicinal medicine traditional anti-infective agents active ingredient nano-compounds

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Assessment of the effects of intrastromal injection of adipose-derived stem cells in keratoconus patients

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International Journal of Ophthalmology(English edition) 2023年第6期16卷 863-870页

作者： Shahrokh Ramin Ali abbasi Masoumeh Ahadi Lina Moallemi Rad Farzad Kobarfad Department of Optometry School of Rehabilitation SciencesIncubation Center for Pharmaceutical Technology(ICPT)Shahid Beheshti University of Medical SciencesCell Therapy DepartmentRed Crescent Pharmaceutical and Clinical ComplexTehran ***Iran Student Research Committee and Department of Optometry School of Rehabilitation SciencesShahid Beheshti University of Medical SciencesTehran ***Iran Department of Molecular and Cell Biology Faculty of Basic SciencesUniversity of MazandaranBabolsar ***Iran Department of Medicinal Chemistry Shahid Beheshti School of PharmacyTehran ***Iran

·AIM: To evaluate the efficacy and safety of intrastromal transplantation of adipose-derived stem cells(ASCs) in keratoconus patients.·METHODS: This study was conducted on 8 eyes of 8 patients with moderate to severe keratoconus. In the patients, ophthalmic assessments including visual acuity, refraction, slit lamp examination, fundoscopy, corneal topography, and confocal microscopy were performed. Autologous stem cells were used. The isolated stem cells were injected into the corneal stroma by using femtosecond laser. Surgical procedure was similar to intracorneal ring implantation. All patients were re-assessed 1, 3, and 6mo after surgery.·RESULTS: The baseline mean visual acuity was 0.48±0.18 and improved to 0.66±0.17 after surger y and final acuity increased by 1.85±0.80 lines(P=0.001).The mean spherical refraction of patients improved 0.34 ± 0.35 D(P=0.039), and the mean cylindrical refraction of patients improved 0.84±0.23 D(P=0.016). The mean flat keratometry decreased 0.78±0.71 D(P=0.017), and the mean steep keratometry decreased 0.59±0.68 D(P=0.023). The mean central corneal thickness of patients improved of 6.29±4.47 μm(P=0.03). The mean keratocyte density at the anterior and middle stroma of cornea increased(P<0.05) but remained stable at the posterior stroma after 6mo. All patients had no complications and their corneas remained transparent. ·CONCLUSION: Intrastromal transplantation of ASCs has positive effects on vision and refractive parameters in most patients with keratoconus. After six months, visual acuity improved moderately, corneal parameters reduced slightly, and stromal keratocytes density increased. This modality is safe, and patients do not have any complications.

关键词： adipose-derived stem cells stromal keratocyte cellular therapy keratoconus

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Canopy cover or remotely sensed vegetation index,explanatory variables of above-ground biomass in an arid rangeland,Iran

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Journal of Arid Land 2018年第5期10卷 767-780页

作者： Fatemeh PORDEL ataollah EBRAHIMI Zahra AZIZI Department of Range and Watershed Management Shahrekord University Department of RS-GIS Science and Research Branch Islamic Azad University

Estimation of above-ground biomass is vital for understanding ecological processes. Since direct measurement of above-ground biomass is destructive, time consuming and labor intensive, canopy cover can be considered as a predictor if a significant correlation between the two variables exists. In this study, relationship between canopy cover and above-ground biomass was investigated by a general linear regression model. To do so, canopy cover and above-ground biomass were measured at 5 sub-life forms（defined as life forms grouped in the same height classes） using 380 quadrats, which is systematic-randomly laid out along a 10-km transect, during four sampling periods（May, June, August, and September） in an arid rangeland of Marjan, Iran. To reveal whether obtained canopy cover and above-ground biomass of different sampling periods can be lumped together or not, we applied a general linear model（GLM）. In this model, above-ground biomass was considered as a dependent or response variable, canopy cover as an independent covariate or predictor factor and sub-life forms as well as sampling periods as fixed factors. Moreover, we compared the estimated above-ground biomass derived from remotely sensed images of Landsat-8 using NDVI（normalized difference vegetation index）, after finding the best regression line between predictor（measured canopy cover in the field） and response variable（above-ground biomass） to test the robustness of the induced model. Results show that above-ground biomass（response variable） of all vegetative forms and periods can be accurately predicted by canopy cover（predictor）, although sub-life forms and sampling periods significantly affect the results. The best regression fit was found for short forbs in September and shrubs in May, June and August with R^2 values of 0.96, 0.93 and 0.91, respectively, whilst the least significant was found for short grasses in June, tall grasses in August and tall forbs in June with R^2 values of 0.71, 0.73 and 0.75, r

关键词： rangeland biomass non-destructive method arid ecosystems NDVI

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Pythagorean Fuzzy Einstein Aggregation Operators with Z-Numbers:Application in Complex Decision Aid Systems

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Computer Modeling in Engineering & Sciences 2023年第12期137卷 2795-2844页

作者： Shahzad Noor abbasi Shahzaib Ashraf M.Shazib Hameed Sayed M.Eldin Institute of Mathematics Khwaja Fareed University of Engineering&Information TechnologyRahim Yar Khan64200Pakistan Center of Research Faculty of EngineeringFuture University in EgyptNew Cairo11835Egypt

The primary goal of this research is to determine the optimal agricultural field selection that would most effectively support manufacturing producers in manufacturing production while accounting for unpredictability and reliability in their *** PFS is known to address the levels of participation and *** begin,we introduce the novel concept of a PFZN,which is a hybrid structure of Pythagorean fuzzy sets and the *** PFZN is graded in terms of membership and non-membership,as well as reliability,which provides a strong advice in real-world decision support *** PFZN is a useful tool for dealing with uncertainty in decision-aid *** PFZN is a practical way for dealing with such uncertainties in decision-aid *** list of aggregation operators:PFZN Einstein weighted averaging and PFZN Einstein weighted geometric,is established under the novel Pythagorean fuzzy *** is a more precise mathematical instrument for dealing with precision and *** core of this research is to develop a numerical algorithmto tackle the uncertainty in real-life problems using *** show the applicability and effectiveness of the proposed algorithm,we illustrate the numerical case study related to determining the optimal agricultural *** main purpose of this work is to describe the extended EDAS approach,then compare the proposed methodology with many other methodologies now in use,and then demonstrate how the suggested methodology may be applied to real-world *** addition,the final ranking results that were obtained by the devised techniques weremore efficient and dependable in comparison to the results provided by other methods presented in the literature.

关键词： Pythagorean fuzzy Z-number Einstein weighted averaging Pythagorean fuzzy Z-number Einstein weighted geometric decision making

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A Hybrid Deep Learning Approach to Classify the Plant Leaf Species

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Computers, Materials & Continua 2023年第9期76卷 3897-3920页

作者： Javed Rashid Imran Khan Irshad Ahmed abbasi Muhammad Rizwan Saeed Mubbashar Saddique Mohamed Abbas Department of CS&SE Islamic International UniversityIslamabad44000Pakistan Department of IT Services University of OkaraOkara56310Pakistan Faculty of Science and Arts Belqarn University of BishaSabtul Alaya61985Saudi Arabia Department of CS University of OkaraOkara56310Pakistan Department of Computer Science&Engineering University of Engineering&Technology LahoreNarowalCampusNarowal51601Pakistan Electrical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia Research Center for Advanced Materials Sciences(RCAMS) King Khalid UniversityAbhaSaudi Arabia

Many plant species have a startling degree of morphological similarity,making it difficult to split and categorize them *** plant species can be challenging to classify and segment using deep *** using deep learning architectures has helped improve classification accuracy,the resulting models often need to be more flexible and require a large dataset to *** the sake of taxonomy,this research proposes a hybrid method for categorizing guava,potato,and java *** new approaches are used to formthe hybridmodel suggested *** guava,potato,and java plum plant species have been successfully segmented using the first model built on the MobileNetV2-UNET *** a second model,we use a Plant Species Detection Stacking Ensemble Deep Learning Model(PSD-SE-DLM)to identify potatoes,java plums,and *** proposed models were trained using data collected in Punjab,Pakistan,consisting of images of healthy and sick leaves from guava,java plum,and *** datasets are known as PLSD and *** levels of 99.84%and 96.38%were achieved for the suggested PSD-SE-DLM and MobileNetV2-UNET models,respectively.

关键词： Plant leaf species stacking ensemble model guava potato java plum MobileNetV2-UNET hybrid deep learning segmentation

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A 37 GHz Millimeter-Wave Antenna Array for 5G Communication Terminals

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Computers, Materials & Continua 2023年第4期75卷 1317-1330页

作者： Jalal Khan Sadiq Ullah Usman Ali Ladislau Matekovits Farooq Ahmad Tahir Muhammad Inam abbasi Telecommunication Engineering Department University of Engineering and TechnologyMardan23200Pakistan Department of Electronics and Telecommunications Politecnico di TorinoTurin10129Italy Istituto di Elettronica e di Ingegneria Dell’Informazione e Delle Telecomunicazioni National Research Council of ItalyTurin10129Italy Department of Measurements and Optical Electronics Politehnica University TimisoaraTimisoara300006Romania Research Institute for Microwave and Millimeter-Wave Studies(RIMMS) National University of Sciences and Technology(NUST)Islamabad44000Pakistan Department of Electronics and Computer Engineering Technology(JTKEK) Faculty of Electrical and Electronic Engineering Technology(FTKEE)Universiti Teknikal Malaysia Melaka(UTeM)Hang Tuah JayaDurian TunggalMelaka76100Malaysia

This work presents,design and specific absorption rate(SAR)analysis of a 37GHz antenna,for 5th Generation(5G)*** proposed antenna comprises of 4-elements of rectangular patch and an even *** radiating element is composed of copper material supported by Rogers RT5880 substrate of thickness,0.254 mm,dielectric constant(εr),2.2,and loss tangent,*** 4-elements array antenna is compact in size with a dimension of 8mm×20mm in length and *** radiating patch is excited with a 50 ohms connector i.e.,*** antenna resonates in the frequency band of 37 GHz,that covers the 5G *** antenna behavior is studied both in free space and in the proximity of the human *** models of the human body,i.e.,belly,hand,and head(contain skin,fat,muscles,and bone)are considered for on-body *** resonant frequency,the antenna gives a boresight gain of 11.6 *** antenna radiates efficiently with a radiated efficiency of more than 90%.Also,it is observed that the antenna detunes to the lowest in the proximity of the human body,but still a good impedance matching is achieved considering the−10 dB ***,SAR is also being *** safe limit of 2 W/kg for any 10 g of biological tissue,specified by the European International Electro Technical Commission(IEC)has been *** calculated values of SAR for human body models,i.e.,belly,hand and head are 1.82,1.81 and 1.09 W/kg,*** SAR values are less than the international recommendations for the three ***,the simulated and measured results of the antenna are in close agreement,which makes it,a potential candidate for the fifth-generation smart phones and other handheld devices.

关键词： 5G antenna array SAR millimeter-wave smart phones

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