Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Yogesh Suryawanshi"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The United Nations advocates for sustainable urban planning and design, emphasizing green infrastructure initiatives to mitigate urban heat island effects and enhance the resilience and livability of cities globally. To address urban heat ch
Externí odkaz:
https://doaj.org/article/eb2236752a0b40bdba25dab8b31beda7
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110268- (2024)
Sugarcane, a vital crop for the global sugar industry, is susceptible to various diseases that significantly impact its yield and quality. Accurate and timely disease detection is crucial for effective management and prevention strategies. We persent
Externí odkaz:
https://doaj.org/article/dfa5783834594c91a9c87772bfebcc1a
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110104- (2024)
This article introduces a dataset of 10,042 Lemongrass (Cymbopogon citratus) leaf images, captured with high quality camera of a mobile phone in real-world conditions. The dataset classifies leaves as “Dried,” “Healthy,” or “Unhealthy,” m
Externí odkaz:
https://doaj.org/article/2876d9cb80fd4dad98807e4cc7cccc27
Autor:
Yogesh Suryawanshi, Vidula Meshram, Kailas Patil, Michael Testani, Prawit Chumchu, Anmol Sharma
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110098- (2024)
In an increasingly digital world, the significance of creating a Comprehensive Image Dataset of Contemporary Indian Coins (CIDCIC) cannot be overstated. This research presents a dataset comprising 6,672 images of 53 different classes of Indian coins,
Externí odkaz:
https://doaj.org/article/2536ff8955054e2c918971e431db1716
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110078- (2024)
The Custard Apple, known as sugar apple or sweetsop, spans diverse regions like India, Portugal, Thailand, Cuba, and the West Indies. This dataset holds 8226 images of Custard Apple (Annona squamosa) fruit and leaf diseases, categorized into six type
Externí odkaz:
https://doaj.org/article/f5e875a64940466a9a2c82e941f89bf1
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 109929- (2024)
The Plumbago Zeylanica (Chitrak) Leaf Image Dataset is a valuable resource for botanical studies, herbal medicine research, and environmental analyses. Comprising a total of 10,660 high-resolution leaf images, the dataset is meticulously categorized
Externí odkaz:
https://doaj.org/article/b2fa8213e0ac4ecfad6d24bd799aaac7
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109755- (2023)
The Face Mask Wearing Image Dataset is a comprehensive collection of images aimed at facilitating research in the domain of face mask detection and classification. This dataset consists of 24,916 images, carefully categorized into two main folders:
Externí odkaz:
https://doaj.org/article/ebfa055a08bc421f9d9353109ae81631
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109717- (2023)
We present a comprehensive dataset of 5,323 images of mint (pudina) leaves in various conditions, including dried, fresh, and spoiled. The dataset is designed to facilitate research in the domain of condition analysis and machine learning application
Externí odkaz:
https://doaj.org/article/d376019e6fe245b9a50c0dbed7a9cce1
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109699- (2023)
Detecting authentic and quality banknotes presents a significant challenge, particularly for individuals with low vision or visual impairments. Extensive research has been dedicated to achieving accurate banknote detection. It is crucial for clean ba
Externí odkaz:
https://doaj.org/article/25919bb105c24e2582710507aeaba932
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109690- (2023)
The ``Coconut (Cocos nucifera) Tree Disease Dataset'' comprises 5,798 images across five disease categories: ``Bud Root Dropping,'' ``Bud Rot,'' ``Gray Leaf Spot,'' ``Leaf Rot,'' and ``Stem Bleeding.'' This dataset is intended for machine learning ap
Externí odkaz:
https://doaj.org/article/c15a3f1d12104b88a10e17557f08cbc8