Applying the transfer learning models on the dataset on the effect of diseases on Nagvel-betel (Piper betle) leavesMendeley Data

The dataset of Betel leaves includes 4156 leaves affected by various diseases. These diseases include Leaf Spot, Powdery Mildew, Anthracnose, Bacterial Blight, Cercospora Leaf Spot, Sooty Mold, Downy Mildew, Wilt Disease, Rust Disease, Mosaic Virus, Black Rot, Root Rot, Stem Canker, Leaf Curl Diseas...

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Podrobná bibliografie

Hlavní autoři:	Milind Gayakwad, Rahul Joshi, Tulshihar Patil, Pratvina Talele, Gurunath S. Waghale, Rajendra Pawar, Nidhi Poonia, Sachin Kadam, Priyanka Paygude
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-10-01
Edice:	Data in Brief
Témata:	Classification, Indian Betel-Nagvel Leaf dataset Transfer learning, Computer vision
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2352340925007115
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