Automated Author ProfileChavan, Snehal
Annasaheb Dange College of Engineering and Technology
Chavan, Snehal
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 6.0 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Grapes are one of the most important crops in global agriculture, primarily used for wine, fresh fruit, and raisins. Nevertheless, grapevines are prone to various diseases that can significantly impact their yield and quality. Early detection and treatment of these diseases is essential.We introduce the "GVLiD: GrapeVine Leaf identification of the Diseases" which has 4 classes of 3,477 high resolution images of grape leaves; nine diseased classes and one healthy leaves class. The dataset covers the following common grapevine diseases:1) Healthy2) Black rot3) Esca4) Leaf blightThe dimension of the images is 1080 X 1080. Images are in JPG format. Images having 120 DPI collected through a field visit and captured from different angles.
Authors
- Shikalgar, Anisa ;
- Savalkar, Ayush ;
- Bhasme, Avishkar ;
- Chavan, Snehal ;
- Nikam, Vaishnavi
Grapes are one of the most important crops in global agriculture, primarily used for wine, fresh fruit, and raisins. Nevertheless, grapevines are prone to various diseases that can significantly impact their yield and quality. Early detection and treatment of these diseases is essential.We introduce the "GVLiD: GrapeVine Leaf identification of the Diseases" which has 4 classes of 3,477 high resolution images of grape leaves; nine diseased classes and one healthy leaves class. The dataset covers the following common grapevine diseases:1) Healthy2) Black rot3) Esca4) Leaf blightThe dimension of the images is 1080 X 1080. Images are in JPG format. Images having 120 DPI collected through a field visit and captured from different angles.
Authors
- Shikalgar, Anisa ;
- Savalkar, Ayush ;
- Bhasme, Avishkar ;
- Chavan, Snehal ;
- Nikam, Vaishnavi
Grapes are one of the most important crops in the global agriculture, as they are mainly used for wine, fresh fruit, and raisins. Nevertheless, grapevines are prone to various diseases which can significantly impact their yield and quality. Early detection and treatment of these diseases is important.We introduce the "Grape Leaf Dataset" which has 4 classes of 3,477 high resolution images of grape leaves; nine diseased classes and one healthy leaves class. The dataset covers the following common grapevine diseases:1) Healthy2) Black rot3) Esca4) Leaf blightThe dimension of the images is 1080 X 1080. Images are in JPG format. Images having 120 DPI collected through field visit and capturing from different angles.
Authors
- Shikalgar, Anisa ;
- Savalkar, Ayush ;
- Bhasme, Avishkar ;
- Chavan, Snehal ;
- Nikam, Vaishnavi
Grapes are one of the most important crops in the global agriculture, as they are mainly used for wine, fresh fruit, and raisins. Nevertheless, grapevines are prone to various diseases which can significantly impact their yield and quality. Early detection and treatment of these diseases is important.We introduce the "Grape Leaf Dataset" which has 4 classes of 3,477 high resolution images of grape leaves; nine diseased classes and one healthy leaves class. The dataset covers the following common grapevine diseases:1) Healthy2) Black rot3) Esca4) Leaf blightThe dimension of the images is 1080 X 1080. Images are in JPG format. Images having 120 DPI collected through field visit and capturing from different angles.
Authors
- Shikalgar, Anisa ;
- Savalkar, Ayush ;
- Bhasme, Avishkar ;
- Chavan, Snehal ;
- Nikam, Vaishnavi