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OpenAlex konusu

Leaf Properties and Growth Measurement

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 1.271 eser 26 yazar konusu

Çalışmalar

1.271 eser

  1. OpenAlex üst %1 OpenAlex 99.9%

    The aim of this work is to detect diseases that occur on plants in tomato fields or in their greenhouses. For this purpose, deep learning was used to detect the various diseases on the leaves of tomato plants. In the study, it was aimed that the deep learning algorithm should be run in real time on the robot. So the r…

  2. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.6%

    Seeds respond to environmental signals, tuning their dormancy cycles to the seasons and thereby determining the optimum time for plant establishment. The molecular regulation of dormancy cycling is unknown, but an extensive range of mechanisms have been identified in laboratory experiments. Using a targeted investigat…

  3. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 100.0%

    The early detection and prevention of plant diseases that are an important cause of famine and food insecurity worldwide are very important for increasing agricultural product productivity. Not only the early detection of the plant disease but also the determination of its type play a critical role in determining the…

  4. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.9%

    Remote detection and monitoring of the vegetation responses to stress became relevant for sustainable agriculture. Ongoing developments in optical remote sensing technologies have provided tools to increase our understanding of stress-related physiological processes. Therefore, this study aimed to provide an overview…

  5. YÖKSİS SJR Q2 JCR Q1 OpenAlex üst %1 OpenAlex 99.9%

    Rapid improvements in deep learning (DL) techniques have made it possible to detect and recognize objects from images. DL approaches have recently entered various agricultural and farming applications after being successfully employed in various fields. Automatic identification of plant diseases can help farmers manag…

  6. YÖKSİS SJR Q2 JCR Q1 OpenAlex üst %1 OpenAlex 99.9%

    Rapid improvements in deep learning (DL) techniques have made it possible to detect and recognize objects from images. DL approaches have recently entered various agricultural and farming applications after being successfully employed in various fields. Automatic identification of plant diseases can help farmers manag…

  7. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.9%

    In recent years, plant leaf diseases has become a widespread problem for which an accurate research and rapid application of deep learning in plant disease classification is required, beans is also one of the most important plants and seeds which are used worldwide for cooking in either dried or fresh form, beans are…

  8. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.4%

    Özet henüz yok.

  9. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.4%

    Özet henüz yok.

  10. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.4%

    Özet henüz yok.

  11. YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 91.9%

    Özet henüz yok.

  12. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.1%

    Özet henüz yok.

Akademisyenler

26 akademisyen