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Deep Learning-Based Classification of Fruit Diseases:An Application for Precision Agriculture

Computers, Materials & Continua 2021年第2期66卷 1949-1962页

作者： Inzamam Mashood Nasir asima bibi Jamal Hussain Shah Muhammad Attique Khan Muhammad Sharif Khalid Iqbal Yunyoung Nam Seifedine Kadry Department of Computer Science HITEC UniversityTaxila47040Pakistan Department of Computer Science COMSATS University IslamabadWah CampusWah Cantt47080Pakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttockPakistan Department of Computer Science and Engineering Soonchunhyang UniversityAsanSouth Korea Department of Mathematics and Computer Science Faculty of ScienceBeirut Arab UniversityBeirutLebanon

Agriculture is essential for the economy and plant disease must be *** recognition of problems is important,but the manual inspection is slow,error-prone,and has high manpower and time *** intelligence can be used to extract fruit color,shape,or texture data,thus aiding the detection of ***,the convolutional neural network(CNN)techniques show a massive success for image classification *** extracts more detailed features and can work efficiently with large *** this work,we used a combined deep neural network and contour feature-based approach to classify fruits and their diseases.A fine-tuned,pretrained deep learning model(VGG19)was retrained using a plant dataset,from which useful features were ***,contour features were extracted using pyramid histogram of oriented gradient(PHOG)and combined with the deep features using serial based *** the fusion process,a few pieces of redundant information were added in the form of ***,a“relevance-based”optimization technique was used to select the best features from the fused vector for the final *** the use of multiple classifiers,an accuracy of up to 99.6%was achieved on the proposed method,which is superior to previous ***,our approach is useful for 5G technology,cloud computing,and the Internet of Things(IoT).

关键词： Agriculture deep learning feature selection feature fusion fruit classification

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干细胞 proteome 上的 antiproliferative 代理人 ciclopirox olamine 处理的影响

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World Journal of Stem Cells 2013年第1期5卷 9-25页

作者： Gry H Dihazi asima bibi Olaf Jahn Jessica Nolte Gerhard A Mueller Wolfgang Engel Hassan Dihazi Department of Nephrology and Rheumatology Georg-August University GoettingenD-37075 GoettingenGermany Proteomics Group Max-Planck-Institute of Experimental MedicineD-37075 GoettingenGermany Deutsche Forschungsgemeinschaft Research Center for Molecular Physiology of the Brain D-37073 Institute of Human Genetics Georg-August University GoettingenD-37073 GoettingenGermany

AIM:To investigate the proteome changes of stem cells due to ciclopirox olamine (CPX) treatment compared to control and retinoic acid treated cells. METHODS:Stem cells (SCs) are cells, which have the ability to continuously divide and differentiate into various other kinds of cells. Murine embryonic stem cells (ESCs) and multipotent adult germline stem cells (maG-SCs) were treated with CPX, which has been shown to have an antiproliferative effect on stem cells, and compared to stem cells treated with retinoic acid (RA),which is known to have a differentiating effect on stem cells. Classical proteomic techniques like 2-D gel electrophoresis and differential in-gel electrophoresis (DIGE) were used to generate 2D protein maps from stem cells treated with RA or CPX as well as from non-treated stem cells. The resulting 2D gels were scanned and the digitalized images were collated with the help of Delta 2D software. The differentially expressed proteins were analyzed by a MALDI-TOF-TOF mass spectrometer, and the identified proteins were investigated and categorized using bioinformatics. RESULTS:Treatment of stem cells with CPX, a synthetic antifungal clinically used to treat superficial mycoses, resulted in an antiproliferative effect in vitro, without impairment of pluripotency. To understand the mechanisms induced by CPX treatments which results in arrest of cell cycle without any marked effect on pluripotency, a comparative proteomics study was conducted. The obtained data revealed that the CPX impact on cell proliferation was accompanied with a significant alteration in stem cell proteome. By peptide mass fingerprinting and tandem mass spectrometry combined with searches of protein sequence databases, a set of 316 proteins was identified, corresponding to a library of 125 non-redundant proteins. With proteomic analysis of ESCs and maGSCs treated with CPX and RA, we could identify more than 90 single proteins, which were differently expressed in both cell lines. We cou

关键词： Stem cells Differentiation Hypusination Ciclopirox olamine Proteomics Retinoic acid

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