Zobrazeno 1 - 10
of 77
pro vyhledávání: '"leaf counting"'
Publikováno v:
智慧农业, Vol 6, Iss 4, Pp 128-137 (2024)
ObjectiveThe enumeration of wheat leaves is an essential indicator for evaluating the vegetative state of wheat and predicting its yield potential. Currently, the process of wheat leaf counting in field settings is predominantly manual, characterized
Externí odkaz:
https://doaj.org/article/0a5bc0ada2b840ed8c1e9adc7a9d0d29
Publikováno v:
Sensors, Vol 24, Iss 16, p 5279 (2024)
The number of maize leaves is an important indicator for assessing plant growth and regulating population structure. However, the traditional leaf counting method mainly relies on manual work, which is both time-consuming and straining, while the exi
Externí odkaz:
https://doaj.org/article/d58015697b6b4618bf72461d9e3fefaa
Akademický článek
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Akademický článek
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Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108035- (2022)
This article introduces a dataset of 2 801 images of vegetable crops. Maize (Zea mays), bean (Phaseolus vulgaris) and leek (Allium ampeloprasum) crops at an early stage of development (between 2 and 5 weeks from seeding of transplanting) are supporte
Externí odkaz:
https://doaj.org/article/9bdd40350b7049ceaa4315c5c79b152c
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Deep learning-based methods have recently provided a means to rapidly and effectively extract various plant traits due to their powerful ability to depict a plant image across a variety of species and growth conditions. In this study, we focus on dea
Externí odkaz:
https://doaj.org/article/117afc84183746b7a824cd7e1ae4207f
Publikováno v:
Sensors, Vol 23, Iss 4, p 1890 (2023)
Leaf numbers are vital in estimating the yield of crops. Traditional manual leaf-counting is tedious, costly, and an enormous job. Recent convolutional neural network-based approaches achieve promising results for rosette plants. However, there is a
Externí odkaz:
https://doaj.org/article/5a1f905d4f914f7ba77904e0515d95e5
Autor:
Mukesh Kumar Vishal, Rohit Saluja, Devarshi Aggrawal, Biplab Banerjee, Dhandapani Raju, Sudhir Kumar, Viswanathan Chinnusamy, Rabi Narayan Sahoo, Jagarlapudi Adinarayana
Publikováno v:
Plants, Vol 11, Iss 19, p 2663 (2022)
Drought is a detrimental factor to gaining higher yields in rice (Oryza sativa L.), especially amid the rising occurrence of drought across the globe. To combat this situation, it is essential to develop novel drought-resilient varieties. Therefore,
Externí odkaz:
https://doaj.org/article/44736e78c5a547f1b7b7882ea775317e
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Leaf counting in potted plants is an important building block for estimating their health status and growth rate and has obtained increasing attention from the visual phenotyping community in recent years. Two novel deep learning approaches for visua
Externí odkaz:
https://doaj.org/article/4bf70784b4cc4d4c8281aa22d5df1595
Autor:
Aryuanto Soetedjo, Evy Hendriarianti
Publikováno v:
Sensors, Vol 21, Iss 19, p 6659 (2021)
A non-destructive method using machine vision is an effective way to monitor plant growth. However, due to the lighting changes and complicated backgrounds in outdoor environments, this becomes a challenging task. In this paper, a low-cost camera sys
Externí odkaz:
https://doaj.org/article/9c9dada138174019a873dbc0e6059c85