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نتیجه جستجو - کلروفیل

تعداد مقالات یافته شده: 5
ردیف عنوان نوع
1 Non-destructive and contactless estimation of chlorophyll and ammonia contents in packaged fresh-cut rocket leaves by a Computer Vision System
تخمین غیر مخرب و بدون تماس محتویات کلروفیل و آمونیاک در برگ های موشک تازه برش خورده بسته بندی شده توسط یک سیستم کامپیوتر ویژن-2022
Computer Vision Systems (CVS) offer a non-destructive and contactless tool to assign visual quality level to fruit and vegetables and to estimate some of their internal characteristics. The innovative CVS described in this paper exploits the combination of image processing techniques and machine learning models (Random Forests) to assess the visual quality and predict the internal traits on unpackaged and packaged rocket leaves. Its perfor- mance did not depend on the cultivation system (traditional soil or soilless). The same CVS, exploiting its ma- chine learning components, was able to build effective models for either the classification problem (visual quality level assignment) and the regression problems (estimation of senescence indicators such as chlorophyll and ammonia contents) just by changing the training data. The experiments showed a negligible performance loss on packaged products (Pearson’s linear correlation coefficient of 0.84 for chlorophyll and 0.91 for ammonia) with respect to unpackaged ones (0.86 for chlorophyll and 0.92 for ammonia). Thus, the non-destructive and con- tactless CVS represents a valid alternative to destructive, expensive and time-consuming analyses in the lab and can be effectively and extensively used along the whole supply chain, even on packaged products that cannot be analyzed using traditional tools.
keywords: Contactless quality level assessment | Diplotaxis tenuifolia L | Image analysis | Packaged vegetables | Senescence indicators prediction
مقاله انگلیسی
2 Transgenerational stress memory of water deficit in peanut production
حافظه فشار تراریخته از کسری آب در تولید بادام زمینی-2020
To address a changing climate and dwindling water resources, many farmers have begun to adopt water-saving irrigation management practices in crop production. Consequently, the impacts of these water-management schemes on crop physiology and yield have been quantified within a single growing season, but relatively little work has been done in characterizing the effects of controlled water deficit on crop performance in the subsequent generation. Therefore, the major aim of this project was to explore the phenotypic impacts of watersaving irrigation management between generations and identify potential genotypic variation in these responses through the quantification of transgenerational stress memory (TSM) in the establishment, photosynthetic and agronomic performance of five genotypes of peanut. To address this objective, seeds were collected from parents that received two water regimes representing two parent stress histories with contrasting potential to induce TSM and providing two progeny types: 1) offspring of non-stressed parents and 2) offspring of stressed parents. Measurements of seedling emergence, photosynthetic functioning, and yield in three consecutive years indicated that TSM may exist in peanut. However, the ways in which TSM is expressed are complex and appear to be dependent on both the genotype and the immediate environmental conditions experienced by the offspring of stressed parents. The offspring of stressed parents had greater yield than the offspring of non-stressed parents, but only in one year of the study. On the other hand, field emergence was improved in the offspring of stressed parents in all years, indicating the stand establishment of peanut plants was determined, at least in part, by the water deficit incurred during the parent generation. These results suggest that the influence of TSM on peanut phenotypes was limited to the early stages of growth of field-grown peanut. Results of this study also highlight the need to further examine the role of management in the parental generation in determining peanut seed quality and subsequent plant performance under a variety of environmental conditions.
Keywords: Arachis hypogaea L. | Controlled deficit irrigation | Chlorophyll fluorescence | Parental effects | Emergence
مقاله انگلیسی
3 Contactless and non-destructive chlorophyll content prediction by random forest regression: A case study on fresh-cut rocket leaves
پیش بینی محتوای کلروفیل بدون تماس و غیر مخرب با استفاده از رگرسيون تصادفی جنگل: مطالعه موردی روی برگهای تازه ريخته شده-2017
In green leafy vegetables, the retention of green colour is one of the most generally used index to evaluate the overall quality and freshness and it is associated to total chlorophyll content.Destructive chemical techniques and non-destructive chlorophyll meters represent the state-of-the-art methods to accomplish such critical task. The former are effective and robust but also expensive and time consuming. The latter are cheaper and faster but exhibit lower reliability, require the probe to touch the leaves and heavily depend on the positions chosen for sampling the leaf’s surface. In this paper, a new approach to non-destructively predict total chlorophyll content of fresh-cut rocket leaves without contact is proposed. Fresh-cut rocket leaves were analysed for total chlorophyll content by spectrophotometer and SPAD-502 (used as reference values) and acquired by a computer vision system using a machine- learning model (Random Forest Regression) to predict total chlorophyll content. Finally, the trained and validated model will be used for on-line prediction of total chlorophyll content of unseen fresh- cut rocket leaves. The proposed system can match the physical and timing constraints of a real industrial production line and its performance (R2 = 0.90), measured on the case study of fresh-cut rocket leaves, outperformed the results of the SPAD chlorophyll meter (R2 = 0.79).© 2017 Elsevier B.V. All rights reserved.
Keywords:Random forest regression | Computer vision system | Non-destructive chlorophyll prediction | Machine learning | Polynomial features
مقاله انگلیسی
4 بررسی پاسخ های فیزیولوژیک گندم تحت تنش شوری
سال انتشار: 2016 - تعداد صفحات فایل pdf انگلیسی: 6 - تعداد صفحات فایل doc فارسی: 12
مشکل عمده ی شوری، تاثیر منفی بالایی بر فرایند های متابولیک گیاهان دارد و موجب کاهش رشد و کاهش عملکرد اکثر محصولات می¬شود. این بررسی بر روی پارامترهای فیزیولوژیکی گندم تحت تنش شوری (25 و 100 میلی مولار) انجام شد. آزمایش نشان داد که MDA و پرولین، تحت تنش شوری تجمع می¬یابد اما رنگدانه های فتوسنتزی مانند کلروفیل A، B، کل و کاروتنوئید کاهش می یابد. پارامترهای دیگر مثل قندها و پروتئین تحت تنش شوری کاهش یافت. همچنین، تنش شوری باعث تجمع AOS و گندم پاسخ های فیزیولوژیکی و افزایش فعالیت آنزیم های آنتی اکسیدانی مانند پراکسیداز گایاکول گردید.
کلمات کلیدی: کلروفیل | پراکسیداز گایاکول | آب اکسیژنه | پرولین | تنش شوری | گندم
مقاله ترجمه شده
5 جلبک به عنوان دارویی برای آینده
سال انتشار: 2012 - تعداد صفحات فایل pdf انگلیسی: 4 - تعداد صفحات فایل doc فارسی: 16
دانشمندان به دنبال داروهای بیولوژیک هستند که ارزانتر از داروهای کنونی باشند. داروهای بیولوژیک تولید شده در کشت سلول پستانداران یا توسط باکتری یا مخمرها برای درمان بیماری هایی مانند دیابت، تصلب بافت های مختلف و سرطان هزینه بیش از حدی دارند. جایگزین جلبک سبز است که فراوان و مرتجع است و پرورش آن ارزان می باشد و در تقسیم پروتئین های پیچیده کارآمد است.
کلیدواژگان: جلبک | کلروفیل | آنتی اکسیدان | ضد انعقاد خون
مقاله ترجمه شده
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